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Spektrum logo

Data Science & AI Data Scientist

SpektrumNorfolk, Virginia
Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer’s Technical Representative (COTR) related to the LABOR category. Essential Skills and Experience Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Desirable Qualifications Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO’s ethical frameworks for AI deployment. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Posted 2 days ago

Boeing logo

Experienced Product Data Management Engineer (Configuration & Data Management)

BoeingHazelwood, Missouri
Experienced Product Data Management Engineer (Configuration & Data Management) Company: The Boeing Company Boeing Defense, Space & Security (BDS) is seeking an Experienced Product Data Management Engineer (Configuration & Data Management) (Level 3) to support the Systems Engineering Integration & Test (SEIT) Team in Hazelwood, MO . The successful candidate will be responsible for leading the implementation of overall configuration/Data Management processes as well as developing, establishing and executing the CM/DM processes within the DEE. Position Responsibilities Coordinates across the program to assure that CM/DM responsibilities are understood and deliveries are achieved in accordance with program requirements. Leads the development of new and innovative methods and technologies, for change management. Support the change process so that only approved and validated changes are incorporated into product documents and related hardware/software. Prepares configuration management documentation, e.g. CCB meeting/agenda/ minutes. Develops new and innovative approaches aligned with industry best practices for Identification management. Controlling/preparing baselines and preparing material for distribution and release. Responsible for defining and managing the configuration status accounting (CSA) activity. Tracks all problems and changes in product documents and hardware/software and reports changes and current configuration. Ensures proper archiving and audibility of product releases. Managing input and retrieval of data in the configuration management repository. Interfaces with Supplier management to assure CM/DM Supplier Statement of Work (SSOW) and Supplier Data Requirements List (SDRL) requirements are properly flowed to Suppliers. Collaborate with teams in the development, analysis, management and compliance verification of process and product baselines of complex products. Defines, plans, coordinates and conducts product and subsystem level technical design reviews and audits for new and derivative products. Analyzes complex product trades and/or changes and develops technically complete change proposals. Contributes to the development and implementation of Configuration and Data Management standards, processes and tools. Defines and allocates Configuration and Data Management requirements for product hardware, software and engineering design data systems throughout the product lifecycle. Coordinates the integration of product elements and analyzes & resolves issues with engineering product structure. Develops, integrates and implements engineering technical program plans including impacts, risks and incorporation of lessons learned spanning multiple engineering functions. Works under general direction. This position is expected to be 100% onsite. The selected candidate will be required to work onsite. Travel may be required up to 10% of the time; Domestically and/or internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required. (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. This position is contingent upon program award. Basic Qualifications (Required Skills/Experience) Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 5+ years related work experience or an equivalent combination of technical education and experience Proficient in Product Data Management (PDM) and Bill of Materials(BOM) systems. Preferred Qualifications (Desired Skills/Experience) Demonstrated interest in personal learning and development as well as process improvement. Ability to accomplish tasks through formal channels and informal networks; an understanding of the cultures of organizations and ability to apply this information in a way that strengthens the organization's strategic plan and profitability. Attention to detail. Excellent spoken and written communication across organizations. Experience with Dassault MSOSA, Siemens TeamCenter, Siemens NX, Siemens OpCenter, and SAP S/4HANA Use of scripting to collect data Typical Education & Experience Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Total Rewards At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $90,100 – $121,900 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Posted 1 week ago

I logo

Director, Data Governance, Enterprise Data Platforms - Acton, Mass. or San Diego, CA (Hybrid)

Insulet CorporationSan Diego, Massachusetts
Insulet Corporation, maker of the OmniPod , is the leader in tubeless insulin pump . Join a fast-paced, mission-driven medical device company where data plays a critical role in improving patient outcomes and operational excellence. As a Director of Data Governance , you’ll work directly with the Data Engineering Leads and cross-functional teams on exciting, high-impact projects that shape the future of our products and data platform. Th is person will be responsible for ensuring accurate , secure and effective use of the organization’s data. This role provides guidance to the team that develops and implements comprehensive data policies, data management and governance capabilities and ensures regulatory compliance while aligning data management and governance strategies to business objectives . We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters—and where you’ll grow alongside a team of talented engineers and healthcare professionals—this is the place for you. Key Accountabilities Defines and delivers broad data management and governance strategies aligned with current and long-term organizational goals Oversees the development, documentation and governance of complex data frameworks & standards to ensure overall consistency and quality across data domains, and that policies are applied. Lead the successful implementation, deployment, and ongoing usage of Atlan as the enterprise data governance platform. Define and execute strategies for tool adoption, integration with existing data platforms, and continuous improvement based on user feedback and business needs. Develop and execute change management plans to drive adoption of data governance tools, including stakeholder engagement, training, and support. Champion a culture of data stewardship and accountability. Defines a data quality vision and strategy within enterprise or function to deliver data that is fit for purpose, operationalizing organizational alignment to lead data quality with intention and focus, and ensures that data quality strategies are aligned with business priorities and organizational focus. Leads the creation of data governance policies that help maintain data integrity ensuring data practices align with organizational goals, and frameworks that define how data is collected, stored, accessed, processed and shared. Leads teams of process and data authorities to define the lifecycle guardrails for how data domains must be handled and governed from birth to death, adhering to regulations and policies while also serving as a change agent for where practices need great definition and maturity. Leads the development of data governance, risk and compliance processes and controls to identify improvements and mitigate risk and align with applicable laws and regulations. Oversees training programs to ensure improved organizational literacy, compliance to data standards and policies and effective communication of accountability for data responsibilities. Manages team members to achieve the organization’s goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture. Qualifications Minimum requirement of 10 years of relevant work experience. Typically reflects 12 years or more of relevant experience. Preferred Qualifications Experience leading global cross functional governance programs Experience with data governance tooling platforms such as Atlan, Alation or Colibra Established operating models and programs to mature data quality and compliance Built and led high performing organizations Sponsored transformational programs that spanned organizational and/or functional boundaries Experienced at articulating the importance of data governance to senior leaders to articulate business value & risk Familiar with implementation or use of data governance and management technologies Additional Information: The US base salary range for this full-time position is $188,100.00 - $282,150.00. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the primary work location in the US. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Acquisition Specialist can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. ( Know Your Rights )

Posted 1 week ago

Johnson & Johnson logo

Sr Director, R&D Data Science - Head, Data Products & Governance

Johnson & JohnsonTitusville, New Jersey
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head, Data Products & Governance . This position has a primary location of Titusville, NJ but is also open to Spring House, PA, or Cambridge, MA. The position will require 25% travel. At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism. Please visit Please visit https://innovativemedicine.jnj.com/ for more information. for more information. Job Summary The Sr. Director, Data Products & Governance leads the enterprise data foundation that powers J&J’s R&D—from Discovery and Translational through Development, Clinical, and Regulatory. This leader will build and operate the R&D data platform and governance program , develop the operating model, reusable data products (pipelines, features, embeddings), and deliver the controls, lineage, and catalog capabilities that make R&D data trusted, compliant, and AI-ready, while protecting J&J’s proprietary advantage. Managing specialized sub-teams (Data Governance; Solutions Architecture; Vector Data Engineering; Data Integrations & Engineering; Annotation & Cataloging; Compliance), this leader will unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. Key Responsibilities Provide thought leadership, management, and execution of strategic initiatives aimed at integration of data assets across the R&D Data Landscape Establish a strong data governance framework and culture to ensure data integrity, quality, and compliance. Partner with JJIT to map and integrate internal and relevant external data sources in the broader R&D data ecosystem (including Discovery, Development, Regulatory and T A s) into a unified architecture while protecting J&J’s proprietary data Make broader R&D data “AI-ready” through robust data engineering, standardization, and annotation ( e.g. using consistent ontologies and data models ) Create a sustainable pipeline of data-driven use cases with clear value, prioritized in line with strategic R&D priorities. Build the organizational capabilities (people, process, technology) needed to govern and scale this data strategy across the enterprise Communicate progress, challenges, and achievements to executive leadership. Offer actionable insights and recommendations to inform strategic decision-making and continuous improvement. Partner with JJT and technology stakeholders to evaluate and select cutting-edge solutions supporting Data Platform initiatives and processes. Strategic Impact Accelerate Portfolio Decisions: Shorten the “data-to-insight” cycle by delivering governed, reusable data products, features, and embeddings that enable rapid modeling and evidence generation Scale Advanced Data Readiness: Industrialize vector stores, knowledge graphs, and annotation pipelines to power semantic search and retrieval-augmented analytics across TAs. Unify the R&D Data Landscape: Establish a common semantic layer, ontologies, and master/reference data so Discovery, Development, Clinical, and Regulatory data interoperate. Qualifications Master’s or PhD in information management, Computer Science, Business Administration, or related field 12+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Proven ownership of enterprise-scale data platforms and governance programs (federated models, stewardship, policy, and quality). Expertise in modern data architectures (lake/ lakehouse /data fabric or mesh), ETL/ELT & streaming, APIs, DataOps /automation, lineage/observability. Demonstrated experience with ontologies/metadata, master/reference data, and catalog tools. Strong grasp of GxP concepts and compliance frameworks (21 CFR Part 11/Annex 11), HIPAA/GDPR, de-identification, retention/archival. Exceptional stakeholder management and executive communication skills; Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Posted 1 day ago

D logo

AI Data Engineer – Data and Knowledge Graphs

DPRRaleigh, North Carolina
Job Description DPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR’s AI initiatives.You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas. Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR’s capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders — with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together—by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers .

Posted 5 days ago

Johnson & Johnson logo

Director, R&D Data Science, Data Products - Neuroscience

Johnson & JohnsonTitusville, NJ
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products- Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products- Neuroscience is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets-including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)-are standardized, productized, and integrated into Janssen's enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through, agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliver integration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neuroscience data domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products- Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master's in informatics, computer science, life sciences or related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirements is a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Posted 3 days ago

Johnson & Johnson logo

Director, R&D Data Science, Data Products - Neuroscience

Johnson & JohnsonCambridge, MA
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products- Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA. The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products- Neuroscience is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets-including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)-are standardized, productized, and integrated into Janssen's enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through, agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliver integration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neuroscience data domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products- Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master's in informatics, computer science, life sciences or related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirements is a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Posted 3 days ago

Truveta logo

Healthcare Data Analyst, Data Ecosystem Team

TruvetaSeattle, WA
Healthcare Data Analyst, Data Ecosystem Team Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity As part of the Ecosystem division, the newly formed Healthcare Analytics team is central to delivering on Truveta’s mission by empowering health system clinical and administrative leaders to measure, learn, and improve. We are building exemplary metrics, dashboards, and benchmarks that inspire adoption of Truveta by our member health systems. The Healthcare Analytics team is looking for a Healthcare Data Analyst who thrives at the intersection of EHR data expertise, rigorous analytics qualifications, and collaborative problem solving. You will play a critical role in creating high-quality analytic outputs that health systems can adopt and customize to improve care quality, population health, clinical operations, and financial sustainability, solving consequential problems in healthcare using an EHR database of ~120 million patients (and growing!), while positively impacting patient outcomes. This role is ideal for someone with hands-on experience working with EHR data, strong data wrangling skills, and a passion for turning data into meaningful insight that resonates with clinicians, health system executives, and operational leaders. As a Healthcare Data Analyst , you will have the opportunity to translate complex clinical and claims data into clear, defensible evidence that supports member initiatives in safety, quality, cost reduction, and growth. Responsibilities Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta’s unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges. Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta’s proprietary coding language and analytics platform. Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta’s differentiated capabilities and highlight how Truveta can impact healthcare’s mission and margin objectives. Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta’s product roadmap. Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations. Required Skills Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field. Experience working with large relational database consisting of millions of patients' records. Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health. 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC. A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience translating healthcare and operational concepts into analytic workflows. Strong communication skills to present insights and results to both technical and non-technical audiences. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them. Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR) Experience building cohort definitions, defining metrics, and interpreting analytic findings Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $105,000 to $130,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Posted today

D logo

Senior Data Engineer/ Data Engineering Architect

DesignlibroSan Jose, California
Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Vision insurance Wellness resources Responsibilities Design robust and scalable data system architecture to collect, process, and store large volumes of data from IoT devices. Design and build data systems that support real-time, customer facing data applications, ensuring data integrity and efficient retrieval processes. Design and build a data validation framework to guarantee the accuracy and consistency of data across all stages of the pipeline, ensuring reliable insights and decision-making. Implement data architectures to continuously improve AI models through automated feedback loops and data collection processes. Optimize data processing workflows for AIoT tasks. Collaborate with product owners to translate data requirements into actionable data engineering solutions. Collaborate with other engineers, product owners to solve challenging problems. Evangelize software engineering best practices and lead by example. Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. 5+ years of proven experience in data engineering, with a strong focus on data warehousing and data system architecture. Expertise in design and build IoT data systems. Expertise in architecting that power high-volume consumer application. Expertise in big data and streaming technologies (Python, Java, Kafka, Spark,Spark Streaming). Expertise in moderen database technology (MongoDB, ElasticSearch, StarRocks, S3, Snowflake, Bigquery etc). Experience with data annotation tools and processes for machine learning datasets. Familiarity with MLOps practices and tools for managing AI model lifecycles. Knowledge about deploying systems into a production Cloud Native Environment (AWS or similar). Experience in Java Spring Framework is a plus Experience with video data handling and image processing is a plus Compensation: $120,000.00 - $180,000.00 per year Since 2019, Petlibro has designed products for the intertwined lives of pets and their people. From smart feeders with health insights to ultra-filtered automatic fountains, our award-winning products are engineered to magnify the bond between your pet and you. Designed better for your lives together

Posted 3 days ago

Nationwide Children's Hospital logo

Senior Data Scientist - Office of Data Sciences

Nationwide Children's HospitalColumbus, Ohio
Overview: Job Description Summary: Organizes and analyzes complex or large data sets to develop insights and predictive models in support of research, operation, and clinical care at Nationwide Children’s Hospital. Job Description: Essential Functions: Collects and organizes large and complex sets of data from various sources. Leverages structured and unstructured data sets to create analytical solutions using statistical and predictive analysis, natural language processing, geospatial analysis, or machine learning techniques. Identifies patterns and trends in data to provide insights and recommendations. Communicates findings and results to stakeholders through reports and presentations. Collaborates with cross-functional teams to develop and improve data-driven solutions. Stays up-to-date with industry trends and advancements in data science techniques. Assists in the mentoring of less experienced staff. Education Requirement: Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, Clinical Informatics, Nurse Informatics, or a related discipline, required. Licensure Requirement: (not specified) Certifications: (not specified) Skills: Strong desire to learn and highly collaborative. Exceptional interpersonal and communication skills to interact effectively with all levels of the organization and external contacts. Experience: Four years ofscripting language or software development experience using Python, R, MATLAB, or SAS etc., required. Four years of data manipulation and analysis using Python, R, MATLAB, or SAS etc., required. Four years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geospatial analytics, required. Some experience working with healthcare data, preferred. Physical Requirements: OCCASIONALLY: Bend/twist, Climb stairs/ladder, Lifting / Carrying: 21-40 lbs, Lifting / Carrying: 41-60 lbs, Squat/kneel, Standing, Walking FREQUENTLY: Computer skills, Lifting / Carrying: 0-10 lbs, Lifting / Carrying: 11-20 lbs, Pushing / Pulling: 0-25 lbs, Pushing / Pulling: 26-40 lbs CONTINUOUSLY: Audible speech, Color vision, Decision Making, Depth perception, Flexing/extending of neck, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Reaching above shoulder, Repetitive hand/arm use, Seeing – Far/near, Sitting Additional Physical Requirements performed but not listed above: (not specified) "The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

Posted 30+ days ago

Nationwide Children's Hospital logo

Data Analyst- Data Resource Center

Nationwide Children's HospitalColumbus, Ohio
Overview: Familiarity w/ hospital coding systems (ICD, CPT, DRG) & experience using medical terminology desired. Analytical skills to assemble & evaluate large complex information sets required. Excellent communication & organizational skills to effectively interact with staff at all levels required. Job Description Summary: Analyzes data to identify patterns and trends, interprets results, and provides insights to support business decisions. Job Description: Essential Functions: Analyzes large datasets to identify trends, patterns, and insights. Develops and maintains databases and data systems to ensure accuracy and integrity. Collaborates with cross-functional teams to identify business needs and provide data-driven solutions. Creates reports and visualizations to communicate findings to stakeholders. Cleans and preprocesses data to ensure it is ready for analysis. Stays up-to-date with industry trends and best practices to continually improve data analysis processes. Education Requirement: Bachelor's Degree in Statistics, Health Informatics, or related field, required. Master's Degree in Business Administration, Healthcare Administration,or related field, preferred. Licensure Requirement: (not specified) Certifications: (not specified) Skills: (not specified) Experience: Two years of experience in healthcare data analysis or equivalent, required. One year of experience in SQL and other programming languages, required. Physical Requirements: OCCASIONALLY: Lifting / Carrying: 0-10 lbs, Standing, Walking FREQUENTLY: (none specified) CONTINUOUSLY: Audible speech, Color vision, Computer skills, Decision Making, Depth perception, Hand use: grasping, gripping, turning, Hearing acuity, Interpreting Data, Peripheral vision, Problem solving, Repetitive hand/arm use, Seeing – Far/near, Sitting Additional Physical Requirements performed but not listed above: (not specified) "The above list of duties is intended to describe the general nature and level of work performed by individuals assigned to this classification. It is not to be construed as an exhaustive list of duties performed by the individuals so classified, nor is it intended to limit or modify the right of any supervisor to assign, direct, and control the work of employees under their supervision. EOE M/F/Disability/Vet"

Posted 2 days ago

Renuity logo

Director of Data - Analytics, BI & Data Science

RenuityCharlotte, North Carolina
We’re looking for a strategic, hands-on Director of Data to lead our enterprise-wide efforts across Analytics, Business Intelligence, and Data Science . This role will shape the future of data at Renuity, helping us harness data as a competitive advantage, from customer acquisition and marketing optimization to operational performance and workforce insights. You’ll build and lead a high-impact team, define data strategy in partnership with executive stakeholders, and architect scalable data solutions that drive real business outcomes. If you're passionate about connecting data to decisions and thrive in a high-growth environment, we want to talk. What You’ll Do: Strategic Leadership & Vision Define and execute long-term data strategy aligned with business and technology objectives. Serve as the enterprise data thought leader, partnering with C-level and business leaders to embed data-driven decision-making across the organization. Lead the Data as a Product mindset, aligning key KPIs and metrics with business leaders that help drive the organization forward. Help define and drive the master data strategy Establish data governance, quality, and compliance frameworks to ensure trusted data assets. Applying AI/ML towards solve complex but exiting business challenges Team & Capability Building Build and lead a high-performing team of analysts, data scientists, and BI engineers. Create career paths, development plans, and performance metrics for the data team. Foster a culture of curiosity, collaboration, and continuous learning. Data Science & Advanced Analytics Oversee the development and deployment of machine learning models and predictive analytics to support marketing, sales, operations, and customer engagement. Translate business challenges into analytical frameworks that drive insight and action. Business Intelligence & Reporting Standardize and scale enterprise dashboards, self-service BI tools, and executive reporting. Partner with cross-functional teams to define KPIs and ensure data accuracy, consistency, and usability. Data Architecture & Infrastructure Collaborate with engineering teams to build scalable data pipelines, architecture, and warehousing solutions (e.g., Snowflake, dbt, Fivetran). Optimize data infrastructure to enable fast, reliable access to insights and experimentation. What You’ll Bring: 10–12+ years of experience in data leadership roles spanning analytics, BI, and data science. Proven success building and scaling data teams in fast-paced, growth-stage or enterprise environments. Hands-on expertise with modern data stack tools (e.g., dbt, Snowflake, Looker/Tableau, Python, SQL). Experience with hyperscalers such as Azure, Google Strong understanding of statistical modeling, experimentation, and machine learning techniques. Executive presence and ability to influence at all levels of the organization. Experience supporting marketing attribution, sales performance, operations, and/or customer experience analytics preferred. About Us : Renuity is a national leader in the direct-to-consumer home improvement industry, dedicated to transforming spaces and enhancing lives. As one of the fastest-growing providers in the country, we operate under the Renuity brand and through a network of trusted regional companies—including Mad City Windows & Baths, Pacific Bath, FHIA Remodeling, Statewide Remodeling, MaxHome, Rite Window, and Closet America. Backed by private equity and fueled by an ambitious growth strategy, Renuity has expanded rapidly through strategic acquisitions. Today, we’re focused on unifying our brands, streamlining operations, and delivering exceptional service to homeowners nationwide. We’ve already helped hundreds of thousands of customers upgrade their homes with quality products and expert installation—at competitive prices. At Renuity, you’ll join a dynamic, fast-paced, and collaborative team where your work directly contributes to the company’s success. Our people work closely with executive leadership, embrace innovation, and drive real impact. Whether you’re in the field or at HQ, you’ll be part of shaping the future of home improvement—and building a career you can be proud of. To learn more, visit www.renuityhome.com . #RHB Renuity and its affiliates are committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact Humanresources@renuityhome.com. If you have a question regarding your application, please contact TA@renuityhome.com To access Renuity's Privacy Policy, please click here:

Posted 30+ days ago

Avaap logo

Data & Analytics - Data Engineering Lead

AvaapColumbus, Ohio
Description We are seeking an accomplished Data Engineering Lead to join our Data & Analytics team in Columbus, OH . In this role, you will establish repeatable frameworks, lead a team of data engineers, and ensure delivery of reliable and scalable pipelines that power enterprise analytics. You’ll set standards, implement best practices, and partner with leadership to drive a modern data engineering capability. Key Responsibilities Develop Standard Patterns: Create and maintain best practices for data integration and transformation, recommending alternatives when standard patterns don’t fit unique requirements. Automation & Metadata: Use APIs, Python, and other automation tools to develop and maintain an inventory and metadata for data pipelines. Monitoring & Analytics: Build tools and SOPs for monitoring, alerting, and pipeline analytics to ensure reliability, performance, and visibility. Demand Intake & Prioritization: Work with the PMO to establish an intake process for new data engineering requests. Manage and prioritize the backlog, assigning work across the team. Leadership & Mentorship: Lead junior data engineers, ensuring work is performed on time and with quality. Conduct pipeline reviews, provide coaching, and mentor team members for professional growth. Performance Management: Define and track Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for data pipelines, reporting regularly against them. Important Experience & Skills Leadership & Mentorship: Proven experience managing and mentoring junior data engineering resources and leading teams. Technical Expertise: Highly skilled with SQL and Python, with deep knowledge of modern data engineering architecture and best practices. Modern Practices: Experience with DevOps, CI/CD, and enterprise-grade frameworks for scalable and sustainable data delivery. Strategic Influence: Skilled at working with senior leaders to design and implement repeatable frameworks that deliver enterprise data at scale. Tools & Platforms: Hands-on experience with enterprise data engineering and automation tools to build and operationalize pipelines (e.g., Airflow, dbt, Snowflake, Databricks, etc.). Pay Transparency Compensation for roles at Avaap varies depending on a wide array of factors including but not limited to the specific business unit, team, role, skillset, and level of experience. As required by law, Avaap provides a reasonable range of compensation for roles that may be hired. Base Salary Range is $130,000 to $165,000 plus 20% variable compensation is available for this specific role. At Avaap it is not typical to be hired at the top of the base salary range. During the interview process, alignment to level will be determined and should level differ from position applied for, a new compensation range will be provided for the appropriate role. Minimum Qualifications Must have excellent verbal and written communication skills along with the ability to communicate effectively Must be able to perform work indoors and remain stationary at a computer Ability to work in a fast-paced and deadline-oriented environment Passion for exceptional customer service and collaboration Ability to work remotely or out of one of Avaap’s physical office locations Current permanent U.S. work authorization required Featured Avaap Benefits Open PTO Competitive vision, dental, and medical, including fertility coverage Confidential Teladoc Mental Health therapy services Paid parental leave 401(k) match Company-paid disability and life benefits Employee Assistance Program, including behavioral health services Tech and Fitness stipends Presented benefits available to full-time US employees. Speak with your recruiter about offerings outside of the US.

Posted 1 week ago

Johnson & Johnson logo

Director, R&D Data Science, Data Products – Neuroscience

Johnson & JohnsonTitusville, New Jersey
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Neuroscienceis responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neurosciencedata domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products – Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus ondata product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

Posted 1 day ago

Spektrum logo

Data Science & AI Data Scientist

SpektrumNorfolk, Virginia
Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities As a member of the Data Science & Artificial Intelligence (DSAI) Branch, responsible to the Section Head/COTR, the contractor will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Programme. Identifies, contributes to, and implements machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use. Publishes and reports on machine learning model outputs to meet customer needs and conform to agreed standards. Utilizes in-depth knowledge of NLP, ML applications, or computer vision. Demonstrates experience with Generative AI. Supports review of data science and AI activities, processes, products, or services. Collaborates with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contributes to the development of scientific studies. Assists with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remains current with new developments in data science and AI to bring innovative ideas into implementation. Supports building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Performs additional tasks as required by the COTR related to the LABOR category. Essential Skills and Experience Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Working experience in data science and AI related outreach activities, such as working with academia and industry, hackathons, or maintaining AI expert and practitioner networks. Demonstrated experience working at NATO or extensive familiarity with NATO processes, culture, and organizational structures. Desirable Qualifications Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced ‘data storyteller,’ capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Posted today

Applied Intuition logo

Staff Data Platform Engineer - Data Engine

Applied IntuitionMountain View, CA
About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About the role We are looking for a Staff Data Platform Engineer to shape the strategy, architecture, and execution of our next-generation data ecosystem. In this role, you will partner closely with our autonomy stack teams-the "customers" of our platform-to deeply understand their workflows, pain points, and evolving needs. You will lead the design and development of robust, scalable, and data-intensive distributed systems that power the full lifecycle of autonomous driving data: collection, ingestion, curation, machine learning training, and evaluation. You'll be a key decision-maker in defining best practices, data contracts, and integration patterns across upstream and downstream systems. This is a highly impactful role for someone who thrives at the intersection of technical leadership, system design, and cross-team collaboration, and who wants to elevate the capabilities of our data platform to support cutting-edge ML and autonomy development. At Applied Intuition, you will: Drive Data Platform Strategy- Define the long-term vision and technical roadmap for the data ecosystem, balancing scalability, reliability, cost efficiency, and developer experience Partner with Customers- Engage deeply with autonomy stack teams to gather requirements, uncover pain points, and translate them into platform capabilities Lead Complex Workflow Development- Architect and build end-to-end, large-scale ETL and data workflows for data collection, ingestion, transformation, and delivery Establish Data Contracts- Define and enforce clear SLAs and contracts with upstream data producers and downstream data consumers Set Best Practices- Champion data engineering best practices around governance, schema evolution, lineage, quality, and observability Mentor and Influence- Guide other engineers and teams on designing scalable data systems and making strategic technology choices Collaborate Across Functions- Work with infrastructure, ML platform, autonomy stack, and labeling teams to ensure smooth data flow and ecosystem integration We're looking for someone who has: 10+ years of experience in data engineering, distributed systems, or related backend engineering roles Proven track record of architecting and building large-scale, data-intensive, distributed systems Deep experience with complex ETL pipelines, data ingestion frameworks, and data processing engines (e.g., Spark, Flink, Airflow, Flyte, Kafka, etc) Strong understanding of data modeling, partitioning, schema evolution, and metadata management at scale Hands-on experience with cloud object stores (e.g., AWS S3), lakehouse architectures, and data warehouse technologies Ability to drive technical discussions with both engineers and non-technical stakeholders Strong communication and leadership skills, with the ability to influence across teams and functions Nice to have: Experience supporting ML/AI workflows at scale, from raw data ingestion to model training and evaluation Familiarity with data governance, lineage tracking, and observability tools Experience in autonomous systems, robotics, or other high-volume sensor data domains Contributions to open-source data infrastructure projects Why Join Us? You'll be at the heart of enabling autonomous driving innovation-building the systems that allow teams to harness massive amounts of real-world and simulated data for developing and validating our stack. You'll have the autonomy to set the technical direction, the opportunity to solve some of the hardest data engineering problems, and the ability to make a measurable impact on the success of our platform and products. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Posted 30+ days ago

Truveta logo

Healthcare Data Analyst, Data Ecosystem Team

TruvetaSeattle, WA
Healthcare Data Analyst, Data Ecosystem Team Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity As part of the Ecosystem division, the newly formed Healthcare Analytics team is central to delivering on Truveta's mission by empowering health system clinical and administrative leaders to measure, learn, and improve. We are building exemplary metrics, dashboards, and benchmarks that inspire adoption of Truveta by our member health systems. The Healthcare Analytics team is looking for a Healthcare Data Analyst who thrives at the intersection of EHR data expertise, rigorous analytics qualifications, and collaborative problem solving. You will play a critical role in creating high-quality analytic outputs that health systems can adopt and customize to improve care quality, population health, clinical operations, and financial sustainability, solving consequential problems in healthcare using an EHR database of ~120 million patients (and growing!), while positively impacting patient outcomes. This role is ideal for someone with hands-on experience working with EHR data, strong data wrangling skills, and a passion for turning data into meaningful insight that resonates with clinicians, health system executives, and operational leaders. As a Healthcare Data Analyst, you will have the opportunity to translate complex clinical and claims data into clear, defensible evidence that supports member initiatives in safety, quality, cost reduction, and growth. Responsibilities Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta's unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges. Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta's proprietary coding language and analytics platform. Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta's differentiated capabilities and highlight how Truveta can impact healthcare's mission and margin objectives. Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta's product roadmap. Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations. Required Skills Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field. Experience working with large relational database consisting of millions of patients' records. Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health. 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC. A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience translating healthcare and operational concepts into analytic workflows. Strong communication skills to present insights and results to both technical and non-technical audiences. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don't already have experience with them. Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR) Experience building cohort definitions, defining metrics, and interpreting analytic findings Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $105,000 to $130,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Posted 4 days ago

Bristol Myers Squibb logo

Senior Data Engineer, Translational Data Products

Bristol Myers SquibbLawrence Township, NJ
Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Summary: As part of the Translational Data Products team, you will directly support translational medicine leaders in their mission to discover biomarkers that guide patient selection and treatment response for BMS assets. Your work will enable exploratory data analysis that drives crucial biomarker decisions at the heart of translational research. You will bridge data engineering with innovation: orchestrating advanced pipelines, ensuring auto-generated ETL and schema mappings are correct, and experimenting with the newest techniques-such as MCP servers, prompt engineering strategies (ReACT, chain-of-thought, etc.), and LLM-assisted tooling-to make biomarker data accessible, trustworthy, and actionable. Key Responsibilities: Enable biomarker discovery: Deliver data pipelines and mappings that help translational leaders identify biomarkers (molecular, digital, imaging) for patient stratification and treatment response. Innovate with AI/LLMs: Explore and apply cutting-edge approaches (MCP servers, prompt orchestration, auto-schema mapping, LLM-based ETL generation) to accelerate and improve data workflows. Data orchestration: Oversee ingestion from diverse sources (vendor feeds, raw instruments, CSV, PDF, etc.), ensuring automated ETL and sample-to-target mapping & transformation (STTM) outputs meet stakeholder needs. Quality and profiling: Assess and validate source data, documenting any cleaning, normalization of semantic mapping that needs to be applied for optimal QC, and identify where improvements are required vs merely convenient. Hands-on implementation: Build or adapt tools/scripts (Python, SQL, AWS Glue, Databricks, etc.) when automation falls short. Stakeholder collaboration: Act as a partner to translational medicine leaders-communicating progress, and brainstorming next steps as priorities evolve. Agile team contribution: Participate actively in standups, design sessions, sprint demos and innovation discussions. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, Bioinformatics, or related field. 5+ years of experience in data engineering, ideally with exposure to life sciences or healthcare. Strong experience with data integration from heterogeneous sources (structured, semi-structured, unstructured). Proficiency in AWS, Python and SQL, with ability to prototype and automate workflows. Hands-on expertise with ETL frameworks (AWS Glue, Databricks, Airflow) Familiarity with modern AI/LLM approaches for data transformation and semantic mapping is highly desirable. Excellent communication skills to engage both technical and scientific stakeholders. Comfortable in agile, exploratory, scientific environments What Makes This Role Unique: Direct scientific impact: Your work connects directly to patient-centric translational decisions. Innovation: You are encouraged to explore new technologies and approaches, not just maintain existing ones. Automation first: Instead of building every pipeline from scratch, you orchestrate and validate auto-generated ETLs and mappings. Collaborative science + engineering: You will brainstorm with scientists, demo working solutions, and help shape the future of translational data products. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Cambridge Crossing: $148,850 - $180,374San Diego- CA - US: $148,850 - $180,374Tampa- FL - US: $135,320 - $163,976 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Posted 3 weeks ago

Bristol Myers Squibb logo

Senior Data Engineer, Translational Data Products

Bristol Myers SquibbSan Diego, CA
Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. Summary: As part of the Translational Data Products team, you will directly support translational medicine leaders in their mission to discover biomarkers that guide patient selection and treatment response for BMS assets. Your work will enable exploratory data analysis that drives crucial biomarker decisions at the heart of translational research. You will bridge data engineering with innovation: orchestrating advanced pipelines, ensuring auto-generated ETL and schema mappings are correct, and experimenting with the newest techniques-such as MCP servers, prompt engineering strategies (ReACT, chain-of-thought, etc.), and LLM-assisted tooling-to make biomarker data accessible, trustworthy, and actionable. Key Responsibilities: Enable biomarker discovery: Deliver data pipelines and mappings that help translational leaders identify biomarkers (molecular, digital, imaging) for patient stratification and treatment response. Innovate with AI/LLMs: Explore and apply cutting-edge approaches (MCP servers, prompt orchestration, auto-schema mapping, LLM-based ETL generation) to accelerate and improve data workflows. Data orchestration: Oversee ingestion from diverse sources (vendor feeds, raw instruments, CSV, PDF, etc.), ensuring automated ETL and sample-to-target mapping & transformation (STTM) outputs meet stakeholder needs. Quality and profiling: Assess and validate source data, documenting any cleaning, normalization of semantic mapping that needs to be applied for optimal QC, and identify where improvements are required vs merely convenient. Hands-on implementation: Build or adapt tools/scripts (Python, SQL, AWS Glue, Databricks, etc.) when automation falls short. Stakeholder collaboration: Act as a partner to translational medicine leaders-communicating progress, and brainstorming next steps as priorities evolve. Agile team contribution: Participate actively in standups, design sessions, sprint demos and innovation discussions. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, Bioinformatics, or related field. 5+ years of experience in data engineering, ideally with exposure to life sciences or healthcare. Strong experience with data integration from heterogeneous sources (structured, semi-structured, unstructured). Proficiency in AWS, Python and SQL, with ability to prototype and automate workflows. Hands-on expertise with ETL frameworks (AWS Glue, Databricks, Airflow) Familiarity with modern AI/LLM approaches for data transformation and semantic mapping is highly desirable. Excellent communication skills to engage both technical and scientific stakeholders. Comfortable in agile, exploratory, scientific environments What Makes This Role Unique: Direct scientific impact: Your work connects directly to patient-centric translational decisions. Innovation: You are encouraged to explore new technologies and approaches, not just maintain existing ones. Automation first: Instead of building every pipeline from scratch, you orchestrate and validate auto-generated ETLs and mappings. Collaborative science + engineering: You will brainstorm with scientists, demo working solutions, and help shape the future of translational data products. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Cambridge Crossing: $148,850 - $180,374San Diego- CA - US: $148,850 - $180,374Tampa- FL - US: $135,320 - $163,976 The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/ . Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as "Transforming patients' lives through science ", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Posted 3 weeks ago

L logo

Data Architect - Data Services

LIVE NATION ENTERTAINMENT INCAtlanta, GA
Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 620 million tickets sold annually and approximately 10,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 50,000 events annually for nearly 7,000 artists in 40+ countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect more than 1,200 sponsors with the 145 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAM Core Data Services org is at the center of Data and Analytics initiatives across the entire Live Nation enterprise. We are at the beginning of our journey to build an enterprise data platform capable of being the true backbone for data needs across the organization. Our mission is to make reliable data available and enable value creation by the data community of engineers, analysts and decision makers. Core Data Services org consists of Product and Engineering teams overseeing Architecture, Platform Engineering, Data Engineering, Business Intelligence Engineering and Operations. THE ROLE As a Data Architect within the Core Data Services team, you will be responsible for the comprehensive solution and architecture of our Enterprise Data platform. We are seeking an experienced professional with a track record of building solutions to large-scale systems at the enterprise level. You will be responsible for designing, implementing, and optimizing end-to-end data solutions that empower our organization to harness the full potential of data. You will collaborate closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to drive innovation and ensure the seamless integration of data and analytics within our ecosystem. Within this role, you will encounter a multitude of opportunities to effect meaningful change across various dimensions, from technological enhancements and streamlined processes to the development and mentorship of talented individuals. Your contributions will have a significant impact on our business and technology team, reaffirming our commitment to excellence. This role is about driving transformation - defining how data is modeled, governed, and delivered in a global, high-volume environment. If you're excited to influence architecture decisions from day one, thrive in ambiguity, and want to leave a lasting mark on how data is done at scale, this role is for you. WHAT THIS ROLE WILL DO: Architecture & Strategy Design and evolve our Databricks Lakehouse architecture with a focus on scalability, cost efficiency, and reliability in response to changing requirements and to address various data needs across the business. Define and implement a tiered data ecosystem with maturity layers to transform data systematically while ensuring each layer services a specific purpose from raw data ingestion to refined and analytics-ready data. Outline the vision, requirements, and lead development of the Data Lakehouse by aligning technical architecture with business needs and long-term vision. Continuously evaluate and introduce new patterns, tools, or practices to make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action. Modeling, Standards & Governance Develop conceptual, logical, and physical data models to serve as the backbone of integrated, reusable and scalable data to support the current and future development of data strategies Establish and enforce standards for metadata, lineage, and data quality across the ecosystem. Define patterns and playbooks that guide engineering teams in building consistent, future-proof pipelines. Enhance data discoverability by working closely with data analysts and business stakeholders to make data easily accessible and understandable to them. Develop and enforce data engineering, security, and data quality standards through automation. Develop and implement strategies for seamlessly integrating data from diverse sources across different systems and platforms, including real-time and batch processing. Delivery & Enablement Collaborate with engineers, analysts, and business teams to design solutions that are accessible, usable, and trustworthy. Mentor and provide architectural guidance to engineering staff. Lead workshops and training to raise data literacy and promote best practices. WHAT THIS PERSON WILL BRING: Bachelor's or Master's degree in Computer Science, Information Systems, or a related field 10+ years of tech industry experience and have 5+ years experience in architecting and implementing big data strategies 5+ years expertise with and cloud-based data platforms (Databricks, AWS, Snowflake, Spark) Deep knowledge of data modeling using Erwin or similar tooling (3NF, dimensional/star schema), medallion architectures, ETL processes, data integration, and Data Warehousing concepts Experience with Big Data technologies such as Databricks, Spark, Hadoop, and NoSQL databases Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc. Experience with confluent Kafka real-time data processing and API platforms. Strong understanding of data governance, lineage, and compliance. Experience optimizing for cost and performance at scale (e.g., caching, partitioning strategies) Excellent communication and interpersonal skills for effective collaboration with technical and non-technical teams to be able to translate architecture into business value BENEFITS & PERKS Our motto is 'Taking Care of Our Own' through 6 pillars of benefits: HEALTH: Medical, vision, dental and mental health benefits for you and your family, with access to a health care concierge, and Flexible or Health Savings Accounts (FSA or HSA) YOURSELF: Free concert tickets, generous paid time off including paid holidays, sick time, and personal days WEALTH: 401(k) program with company match, stock reimbursement program FAMILY: New parent programs including caregiver leave and baby bonuses, plus fertility, adoption, foster, or surrogacy support CAREER: Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment OTHERS: Volunteer time off, crowdfunding match EQUAL EMPLOYMENT OPPORTUNITY We aspire to build teams that reflect and support the fans and artists we serve. Every day we aim to promote environments where everyone can be themselves, contribute fully, and thrive within our company and at our events. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. Live Nation is an equal opportunity employer. It hires and promotes employees based on their experience, talent, and qualifications for the job and does not tolerate discrimination toward employees based on age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, intersectionality, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. Live Nation affords equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant or an employee consistent with its legal obligations to do so. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant or employee to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants and employees are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek or currently occupy. Any applicant or employee who requires an accommodation in order to perform the essential functions of the job should contact either the hiring manager for the role or a Human Resources representative to request the opportunity to participate in a timely interactive process. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. #LI-EF1 #LI-RemoteUnitedStates --------- The expected compensation for this position is: $144,000.00 USD - $180,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.

Posted 6 days ago

Spektrum logo

Data Science & AI Data Scientist

SpektrumNorfolk, Virginia
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Job Description

Spektrum have a wide range of exciting opportunities in several global locations.

We are always looking to add great new talent to our team and look forward to hearing from you.

Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting

Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO.

The program 

Capability Development & Management Support (CDMS)

DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate.

The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities

The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams.

The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe.

The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure

The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities.

Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives.

Role Duties and Responsibilities

  • Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives.
  • Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems.
  • Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments.
  • Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments.
  • Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO.
  • Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise.
  • Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics.
  • Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference.
  • Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis.
  • Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure.
  • Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows.
  • Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines.
  • Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed.
  • Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards.
  • Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems.
  • Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO.
  • Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy.
  • Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics.
  • Perform additional tasks as required by the Contracting Officer’s Technical Representative (COTR) related to the LABOR category.

Essential Skills and Experience

  • Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes).
  • Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization).
  • Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent.
  • Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery).
  • Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions).
  • Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards.
  • Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders.
  • Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures.
  • Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams.
  • Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects.
  • Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts.

Desirable Qualifications

  • Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases.
  • Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership.
  • Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets.
  • Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects.
  • Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data.
  • Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments.
  • Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO’s ethical frameworks for AI deployment.

Education

  • A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years.

Language Proficiency

  • Advanced Proficiency in English

Working Location

  • Norfolk, VA, USA

Working Policy

  • On-Site

Contract Duration

  • January 2026 – December 2030

Security Clearance

  • Valid National or NATO Secret personal security clearance

We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up. 

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