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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 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 week 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 1 week ago

C logo

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

6084-Janssen Research & Development Legal EntityTitusville, 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 week ago

C logo

Senior Staff Data Scientist, Imaging, Data, Science

Chan ZuckerbergRedwood City, CA
The Team CZI and its Biohub Network supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster. Join us in accelerating science. The Opportunity At CZI, we are generating unprecedented scientific datasets that drive biological modeling innovation: Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery. As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products. Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease. What You'll Do Define the technical strategy for a robust imaging data ecosystem and build data ingestion pipelines, define data formats, write validation tools, QC metrics, and analysis pipelines. Collaborate with ML engineers, AI Researchers, and Data Engineers to iteratively evaluate, refine and grow datasets to maximize model performance. Discover and define new data generation opportunities, and manage the delivery of those data products to our AI team. Collaborate with engineers, product managers, UX designers, and other data scientists to publish valuable datasets as part of CZI's open data ecosystem. What You'll Bring 10+ years of experience with large scale biological imaging data. Demonstrated delivery of multiple large biological data products. Experience with big data: extraction, transport, loading, databases, standardization, validation, QC, and analysis. Experience with processing and orchestration pipelines, such as Argo Workflows, Databricks Strong fundamentals in statistical reasoning and machine learning. Experience with biological data analysis and QC best practices Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Experience working in a multidisciplinary environment (engineering, product, AI Research). Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Better Together As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

Posted 30+ days ago

C3 AI logo

Data Science - Intern (Summer 2026)

C3 AIRedwood City, CA
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms—from predictive maintenance to fraud detection—at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Posted 30+ days ago

Benchling logo

Solution Consultant - IT & Data Science

BenchlingPhiladelphia, PA
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. ROLE OVERVIEW We are seeking a highly skilled and enthusiastic Solutions Consultant with expertise at the intersection of complex software systems and the IT and Data Science landscape within enterprise life sciences R&D. In this role, you will be instrumental in partnering directly with our customers to understand their unique IT infrastructure, data workflows, and analytical needs. You will leverage your technical expertise and understanding of Benchling to design impactful and practical solutions that streamline their operations, accelerate data-driven discovery, and contribute to the biotech software and AI revolution. This is an exciting opportunity to work closely not just with our customers but also our engineering, security, and product teams to shape the future of scientific software. RESPONSIBILITIES Identify IT & Data Science Pain Points and Define Key Success Metrics : Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in addressing those challenges Engage with Solutions Consulting Peers: Work closely with R&D and Business Value solutions consultants to ensure cohesive and comprehensive solutions are presented to customers, addressing both scientific and strategic business needs Design and Showcase IT Integrations and Data Pipelines : Architect and demonstrate cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP) and develop data pipelines to facilitate data sharing, analysis, and reporting for data science teams Collaborate on Data Science Focused Features : Partner closely with engineers and product managers to define, prioritize, and execute on new Benchling features and integrations that specifically address the requirements of data scientists and bioinformaticians Enable Complex Enterprise Deployments with IT & Data Science Focus : Collaborate with Professional Services and Customer Success teams to ensure successful and scalable rollouts of Benchling at large enterprise customers, with a specific focus on integrating with their existing IT infrastructure and enabling data science (AI/ML) workflows Develop Targeted Messaging for IT & Data Science Audiences : Partner with Sales and Marketing to develop compelling pitches and materials that highlight Benchling's value proposition for IT departments and Data Science teams within the evolving biotechnology landscape Contribute to IT & Data Science Best Practices and Product Development : Participate in and contribute to initiatives focused on developing best practices for integrating Benchling within complex IT environments and shaping the product roadmap to better serve the needs of IT and data science users QUALIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred). 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space, including experience in developing or working with APIs in Python or R. Excellent at listening to diverse stakeholders (including IT professionals, data scientists, and scientists) and expressing technical ideas clearly Great at understanding the needs and challenges of both technical and scientific users, and quickly grasping complex scientific and technical concepts Proven ability to partner effectively with engineering and security teams to solve challenging technical problems related to software integration, data pipelines, and system architecture. Curious, creative, and tenacious, with a passion for leveraging technology to solve complex problems in life sciences Excited to collaborate with customers as a trusted technical advisor Ability to travel approximately 20% SALARY RANGE Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $119,000 to $175,000. However, because this role is eligible to participate in Benchling's commission plan, it is common for employees in this role to receive total on-target earnings of $148,750 - $218,750. Total Compensation includes the following: Competitive salary and equity Broad range of medical, dental, and vision plans for employees and their dependents Fertility healthcare and family-forming benefits Four months of fully paid parental leave 401(k) + Employer Match Commuter benefits for in-office employees and a generous home office set up stipend for remote employees Mental health benefits, including therapy and coaching, for employees and their dependents Monthly Wellness stipend Learning and development stipend Generous and flexible vacation Company-wide Winter holiday shutdown Sabbaticals for 5-year and 10-year anniversaries #LI-Remote #BI-Remote #LI-DNP Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance. Please be aware that Benchling will never request personal information, payment, or sensitive details outside of Greenhouse or via email. All official communications will come from an @benchling.com email address or from an approved vendor alias. If you are contacted by someone claiming to represent Benchling and are unsure of their legitimacy, please reach out to us at recruiting-fraud-alert@benchling.com to verify the communication.

Posted 3 weeks ago

Benchling logo

Solution Consultant - IT & Data Science

BenchlingBoston, MA
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. ROLE OVERVIEW We are seeking a highly skilled and enthusiastic Solutions Consultant with expertise at the intersection of complex software systems and the IT and Data Science landscape within enterprise life sciences R&D. In this role, you will be instrumental in partnering directly with our customers to understand their unique IT infrastructure, data workflows, and analytical needs. You will leverage your technical expertise and understanding of Benchling to design impactful and practical solutions that streamline their operations, accelerate data-driven discovery, and contribute to the biotech software and AI revolution. This is an exciting opportunity to work closely not just with our customers but also our engineering, security, and product teams to shape the future of scientific software. RESPONSIBILITIES Identify IT & Data Science Pain Points and Define Key Success Metrics : Engage deeply with IT leaders, data scientists, and bioinformatics specialists at biotechnology companies to understand their critical pain points related to software systems, data management, and analysis, and collaboratively define key metrics to measure the success of Benchling in addressing those challenges Engage with Solutions Consulting Peers: Work closely with R&D and Business Value solutions consultants to ensure cohesive and comprehensive solutions are presented to customers, addressing both scientific and strategic business needs Design and Showcase IT Integrations and Data Pipelines : Architect and demonstrate cloud-based integrations between Benchling and other enterprise IT systems (e.g., LIMS, ELN, ERP) and develop data pipelines to facilitate data sharing, analysis, and reporting for data science teams Collaborate on Data Science Focused Features : Partner closely with engineers and product managers to define, prioritize, and execute on new Benchling features and integrations that specifically address the requirements of data scientists and bioinformaticians Enable Complex Enterprise Deployments with IT & Data Science Focus : Collaborate with Professional Services and Customer Success teams to ensure successful and scalable rollouts of Benchling at large enterprise customers, with a specific focus on integrating with their existing IT infrastructure and enabling data science (AI/ML) workflows Develop Targeted Messaging for IT & Data Science Audiences : Partner with Sales and Marketing to develop compelling pitches and materials that highlight Benchling's value proposition for IT departments and Data Science teams within the evolving biotechnology landscape Contribute to IT & Data Science Best Practices and Product Development : Participate in and contribute to initiatives focused on developing best practices for integrating Benchling within complex IT environments and shaping the product roadmap to better serve the needs of IT and data science users QUALIFICATIONS Bachelor’s degree in Computer Science, Information Technology, Data Science, Bioinformatics, or a related technical field (advanced degree preferred). 5+ years of direct experience working with complex software systems, with a strong emphasis on cloud-based, enterprise-scale IT infrastructure, data management, and data analysis within the life sciences R&D space, including experience in developing or working with APIs in Python or R. Excellent at listening to diverse stakeholders (including IT professionals, data scientists, and scientists) and expressing technical ideas clearly Great at understanding the needs and challenges of both technical and scientific users, and quickly grasping complex scientific and technical concepts Proven ability to partner effectively with engineering and security teams to solve challenging technical problems related to software integration, data pipelines, and system architecture. Curious, creative, and tenacious, with a passion for leveraging technology to solve complex problems in life sciences Excited to collaborate with customers as a trusted technical advisor Ability to travel approximately 20% SALARY RANGE Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $119,000 to $175,000. However, because this role is eligible to participate in Benchling's commission plan, it is common for employees in this role to receive total on-target earnings of $148,750 - $218,750. Total Compensation includes the following: Competitive salary and equity Broad range of medical, dental, and vision plans for employees and their dependents Fertility healthcare and family-forming benefits Four months of fully paid parental leave 401(k) + Employer Match Commuter benefits for in-office employees and a generous home office set up stipend for remote employees Mental health benefits, including therapy and coaching, for employees and their dependents Monthly Wellness stipend Learning and development stipend Generous and flexible vacation Company-wide Winter holiday shutdown Sabbaticals for 5-year and 10-year anniversaries #LI-Remote #BI-Remote # LI-KW2 Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance. Please be aware that Benchling will never request personal information, payment, or sensitive details outside of Greenhouse or via email. All official communications will come from an @benchling.com email address or from an approved vendor alias. If you are contacted by someone claiming to represent Benchling and are unsure of their legitimacy, please reach out to us at recruiting-fraud-alert@benchling.com to verify the communication.

Posted 3 weeks ago

W logo

Data Science Intern (Technology) - Summer 2026

W TLBoston, MA
Program Dates: June 1, 2026 - August 7, 2026 The base pay for this position is $35 per hour This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday). At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Who We Are : At their core, data scientists at Wayfair are strong in quantitative analysis, have prior coding experience, and take an interest in business. They think critically to tackle complex problems, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. Leveraging cutting-edge technology and multi-terabyte datasets, Data Scientists will collaborate closely with broader teams within Wayfair’s Tech org such as Product Management, Software Engineering, and Product Design, in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders. What You’ll Do : Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. Collaborate with leaders of functional areas (e.g., Product Management, Software Engineering, Product Design, Analytics) to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth. Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and consumer behavior. Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including website funnel progression, customer segmentation and targeting, and customer engagement and behavior. Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees. What You’ll Need : Basic Qualifications: Currently pursuing a Bachelors degree in Data Science, Computer Science/Engineering, Analytics, Mathematics, Statistics, or other quantitative discipline with the expectation that the degree will be obtained between December 2026 and Summer 2027, with a 3.0 GPA minimum Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Must be returning to the course of study following completion of the internship Preferred Qualifications: Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C) Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Looker a plus. Experience with cloud technologies and tools including VertexAI, GBQ and GCS Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Strong comfort level and appetite to use AI in daily workflow Ecommerce or retail analytics experience a strong plus Why You’ll Love Wayfair: Wayfair was selected as a top 100 Internship program for 2025 by Yello & WayUp! We take pride in delivering a best in-class experience! Our 10-week summer internship program is designed to give you a feel for what it would be like to work at Wayfair as a full-time employee. You’ll be assigned real projects and contribute directly to your team’s goals and objectives. Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: A calendar of intern events including social networking, professional development and a leadership dialogue series Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback Skills-based training Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair Coffee chat opportunities for interns to get to know one another Volunteer opportunities Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems Intern Appreciation Day celebration Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com. Need Technical Assistance? If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com. About Wayfair Inc. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Posted 2 weeks ago

MediaAlpha logo

Data Science Manager

MediaAlphaLos Angeles, CA
MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Hybrid: Tuesday & Wednesday in-office We’re looking for a Data Science Manager to lead a high-impact team solving the most critical and complex problems across our marketplace. You’ll partner closely with product, engineering, and executive leadership to set vision and strategy for data science initiatives, ensuring that our models and insights directly drive business growth and efficiency. This is a hands-on leadership role — ideal for someone who thrives on solving tough problems while building and mentoring a high-performing team. Responsibilities Lead, manage, and grow a team of Data Scientists, providing coaching, career development, and performance feedback. Architect and productionize advanced ML/AI solutions across our marketplace with your team. Improve how we approach real-time auction pricing and LTV-driven bid optimization through scalable, data-driven solutions. Master the MediaAlpha platform and collaborate with engineering to enhance our platform’s analytical capabilities and build new data products. Own the end-to-end lifecycle of key initiatives, from ideation to deployment and iteration. Requirements 10+ years of experience in Data Science, Analytics, or a related field, with at least 3 years managing or leading data science teams Bachelor's degree required, preferably in a quantitative discipline (e.g., economics, business, finance, math, engineering, statistics) or equivalent experience Proven experience leading cross-functional projects and working cross collaboratively with tech/engineering teams Demonstrated success deploying impactful code (e.g., predictive models, date pipelines, algorithms) to production environments with quantifiable business impact Expertise in applying statistical techniques to real-world business problems (e.g. designing tests/experiments and evaluating results) Proven track record of training and mentoring data scientists Advanced in Python and SQL Exceptional analytical skills and ability to synthesize large and disparate data sets Capacity to think critically and creatively, uncover problems, and propose solutions Excellent written and verbal communication skills Self-starter who takes initiative on all projects and strives to build and improve upon existing processes Preferred Qualifications Experience with search, display, performance, and/or digital marketing Experience with real-time bidding Experience with R Shiny and Shiny Server Experience with Airflow Compensation & Benefits We are excited to offer a competitive base pay range of $133,000 to $247,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including: Annual bonus program and participation in our Restricted Stock Unit program 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner 100% Employer paid long term disability, and life insurance 401(k) retirement plan with matching contributions to help you plan for your future Open Paid Time Off policy with a birthday day off and 11 holidays Professional development reimbursement Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement Diversity, Equity, and Inclusion MediaAlpha is committed to fostering, cultivating, and maintaining a culture of diversity, equity, and inclusion. Our philosophy and actions are built on the premise that as an employer and citizens of our communities, we can create opportunities for lasting change. Fair Chance MediaAlpha will consider qualified applicants, including those with criminal histories, in a manner consistent with state and local "Fair Chance" laws. We are also committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans in our application process. If you need assistance or an accommodation due to a disability, please contact us at peopleops@mediaalpha.com or (213) 316-6256.

Posted 1 week ago

Altos Labs logo

Scientist, Data Science (6 month contract)

Altos LabsSan Francisco Bay Area, CA
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at altoslabs.com. Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a contract Data Scientist to work in the field of cells, genomics and related areas. This role will focus on exploring statistical models, understanding the data and model behaviour to gain deep insights, focussing on biological mechanisms & hypotheses validation. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Works across various domains, in partnership with Computational Biologists / Scientists and AI/ML Scientists offering integrated insights across disciplines Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights that form a hypothesis. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using Bayesian statistical methods, machine learning and data visualization to gain insights. Can demonstrate and apply depth in their statistical expertise and application & insights shared. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and untargeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 2+ years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into -omics data analysis pipelines. The salary range for Redwood City, CA : Scientist II, Data Science : $95.00 - $115.00/hour Exact compensation may vary based on skills, experience, and location. For UK applicants, before submitting your application: - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice ( bit.ly/eu_uk_privacy_notice )- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. Equal Opportunity Employment We value collaboration and scientific excellence. We believe that diverse perspectives and a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment. Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/

Posted 1 week ago

Axtria, Inc. logo

Director - Data Science – GenAI (1201)

Axtria, Inc.Boston, MA
About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Boston, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

Posted 30+ days ago

Axtria, Inc. logo

Director - Data Science – GenAI (1200)

Axtria, Inc.Berkeley Heights, NJ
About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

Posted 30+ days ago

Ripple Effect logo

Health Data Science Manager

Ripple EffectRockville, MD
Are you passionate about leveraging data to drive insights and improve program outcomes? Do you have strong management skills that motivate and lead teams? Ripple Effect is seeking a full-time Health Data Science Manager to take a leading role in our data-driven projects. This role involves overseeing the execution of data science and artificial intelligence (AI) techniques to support our clients' missions at NIH and other science- and health-based agencies. The ideal candidate will have a solid foundation in data science and AI experience in social or clinical science or related fields. You will thrive in a collaborative environment, where innovative thinking and problem-solving are encouraged. If you are looking for a place where your skills can truly make an impact, Ripple Effect is the right fit for you! We are a diverse and inclusive workplace that values creativity and offers flexible work arrangements to support your work-life balance. General Information Job Code: SHR-DM-04/05M Location : Ripple Effect Headquarters – Rockville, MD Employee Type : Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements ) Telework : Hybrid Clearance : Public Trust Manager : Yes Number of Openings : 1 Salary Range : $105,166.40 - $131,458.00 per year (how we pay and promote ) Responsibilities Data Science & AI Leadership: Lead and manage data science, modeling, and AI projects, ensuring technical soundness and relevance, in support of government contracts. Develop detailed project plans to track progress and manage changes in project scope, schedule and costs related to process, outcome, and impact evaluation studies. Supervise and mentor cross-disciplinary teams of data scientists and evaluation specialists. Enhance team operations through the development and implementation of streamlined processes. Data Analysis & AI: Provide technical advice on methodology approaches to accomplish project objectives (e.g., research design, analytical techniques, sampling methods). Design and implement advanced statistical models and machine learning algorithms to solve business problems, evaluate program performance, and generate insights from large and complex data sets to improve methodologies. Develop coding frameworks using NVivo, R, or other coding platforms. Stay informed of industry trends and best practices in data science and modeling, deploying AI tools such as machine learning, natural language processing, and large language models to develop new solutions. Data Management: Extract and transform raw health data from multiple sources into meaningful and actionable insights. Aggregate coded comment data to surface themes and insights. Ensure data quality and integrity by implementing robust data validation, cleaning processes, and best practices for data management. Reporting: Develop client reports using aggregated data. Track and process progress reports using an electronic database. Review documents for accuracy and collaborating with team members to resolve any discrepancies. Present findings and recommendations to key decision-makers in a clear and concise manner. Training & Documentation: Develop training materials and co-lead training events. Develop and revise SoPs and other related process documentation. Collaborate with stakeholders and clients to define data science needs and project objectives. Contribute to proposal writing and technical solutioning for new projects. Perform other job-related duties as assigned. Requirements Minimum Education and Experience Bachelor's degree in data science, statistics, or other relevant field 10 years relevant work experience, including at least 4 years of those years in a social or biomedical science related field Basic Requirements Experience developing data-driven insights and visualizations that clearly convey complex concepts and conclusions. Experience leading biomedical research or public health data science projects for the federal government Strong understanding and proven experience with AI, statistical and machine learning techniques, and other emerging technologies to enhance analytical conclusions. Proven experience as a Senior Data Scientist, with a focus on data analysis, modeling, evaluation, and visualization and technical experience with qualitative or quantitative software packages. Proficient in coding languages such as Python or R, data manipulation tools like SQL, and cloud platforms like Azure. Advanced skills with Microsoft Excel, PowerPoint, Word and Outlook. Excellent organizational skills, attention to detail, and effective communication skills. To be successful at Ripple Effect, you must be able to pay attention to details, clearly communicate, work independently, and have an eagerness to learn. Learn more about what it takes to become a Rippler here . Skills That Set You Apart Masters or doctoral degree in relevant field Supervisory experience Established networks in government contracting that can be leveraged Experience with bibliometrics or portfolio analysis Certifications and demonstrated coursework in data science techniques Project Management Professional (PMP) or other management certifications If you don’t have all of the skills above, don’t be discouraged—no resume paints a complete picture of a person. There’s a good chance you’re more wonderful than you think, so please apply! About Ripple Effect Ripple Effect is an award-winning women-owned small business providing professional consulting and exceptional talent for federal, private, and non-profit clients. We deliver multi-disciplinary solutions across Communications & Outreach , Research & Evaluation , Program Management & Policy , Digital Transformation , and Technical & Scientific Support solutions with a focus on science, research, and healthcare domains. Hiring Process | Life at Ripple Benefits Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences. ----------------------------------------------------------------------- Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify .

Posted 30+ days ago

LexisNexis logo

Senior Manager Data Science

LexisNexisRaleigh, North Carolina
Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $116,000 - $215,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Posted 1 week ago

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Data science software developer

SolventumMurray, Utah
Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Senior Data Science Software Engineer (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You’ll Make in this Role As a(n) Senior Data Science Software Engineer , you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Collaborating with team members, product owners and other stakeholders to build world class deep learning models Integrating AI models into software pipelines Assisting on data ETLs and deployment to cloud hosted environments Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Bachelor’s Degree or higher AND 3 years of software development experience, preferably using the Java and/or Python programming languages OR High School Diploma/GED from AND 5 years of software development experience, preferably using the Java and/or Python programming languages AND In addition to the above requirements, the following are also required: 1 year of experience using the Python programming language 1 year of experience using PyTorch or another machine learning framework 1 year of experience developing cloud-hosted applications Additional qualifications that could help you succeed even further in this role include: Master's degree in Computer Science or related from an accredited institution Experience with medical coding systems such as ICD-10, CPT, HCPCS, etc. For current employees, internal transfer restrictions may not apply. For more details, contact your local recruiter/HR team. Work location: Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $137,439 - $167,981, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-RewardsResponsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com . Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here , select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with theterms.

Posted 1 week ago

Johnson & Johnson logo

Associate Director, R&D Neuroscience Data Science & Digital Health – Neurodegeneration

Johnson & JohnsonTitusville, Massachusetts
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 Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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 Johnson & Johnson Innovative Medicine is recruiting for Associate Director, R&D Neuroscience Data Science & Digital Health – Neurodegeneration to be located at one of our sites in Cambridge, MA, Titusville, NJ, La Jolla, CA or Zug, Switzerland . Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA - Requisition Number: R-035258 Switzerland - Requisition Number: R-036221 Role Summary This outstanding data scientist will join the Neuroscience Data Science and Digital Health (DSDH) team to transform neurodegeneration clinical trials through cutting-edge AI, digital health technologies and advanced statistical methodologies. This role will work on the discovery, development and validation of novel digital endpoints and tools, enhancing patient screening, recruitment, monitoring, and engagement. By combining deep knowledge of neuroscience with expertise in data science and digital health, the role will ensure innovative, fit-for-purpose solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. This will be achieved by being an integral member of a matrixed team working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes, and by establishing strategic external collaborations. Key Responsibilities Advancing our Digital Health Strategy Partner with cross-functional teams to create strategic roadmaps that integrate digital health solutions throughout the patient journey ensuring clinical relevance and patient-centered outcomes. Monitor emerging technologies and trends to bring forward next-generation solutions for neurodegeneration research and development. Endpoint & Digital Tool Development Partner with cross-functional teams (e.g., disreal-worldct-matter-experts, data scientists, statisticians, precision measures leads and clinicians) on (a) study design, development and validation of algorithms and analysis pipelines for digital health data; (b) Development of multimodal approaches combining digital health data with imaging, blood-based biomarkers and real world data to enable precision neuroscience. Regulatory & Evidence Generation Contribute to evidence packages to support regulatory qualification of digital endpoints and tools. Partner with regulatory and medical affairs to engage health authorities and payers on the acceptance of digital health approaches. Ensure validation and compliance with evolving global regulatory and data privacy standards. Cross-functional & External Leadership Collaborate with clinical operations to integrate digital health technologies into trial design. Partner with the rest of the organization to optimize data capture, integration, and interoperability of digital solutions. Represent the organization in external consortia, conferences, and collaborations to influence digital health standards in neurodegeneration. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics or a related field. 6+ years of experience in pharmaceutical, biotech, or healthcare analytics. Experience in clinical development, digital health or outcome assessments, with demonstrated expertise in neuroscience preferred. Extensive experience in advanced analytical methodologies, including biostatistics, machine learning and statistical modeling of digital health data such as speech and sensor data and/or neuroimaging, and in multimodal data analysis approaches is required. Knowledge of state-of-the-art AI methods is an advantage. Strong track record in developing and validating digital health tools, clinical endpoints, or biomarkers, ideally with regulatory interactions. Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations. Familiarity with data standards, privacy regulations, and regulatory qualification pathways for digital measures. Excellent cross-functional leadership, communication, and collaboration skills. Track record of scientific contributions (presentations and publications) in this field is required. This position is based in either Cambridge, MA, Titusville, NJ, Spring House, PA, San Diego, CA, or Zug, Switzerland, and currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely. (No fully remote option available.) Up to approximately 10% domestic and international travel may be required. 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, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 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)). • 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• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid

Posted 1 week ago

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Data Science Supervisor

Chord Energy CorporationHouston, Texas
Job Title: Data Science Supervisor Position Summary The Chord Energy Data Science Supervisor is a working manager that will lead a small team of data scientists/ML engineers while staying hands-on building models yourself. The team develops, deploys, and monitors machine-learning solutions for subsurface (geology, geophysics, reservoir), operations (production, D&C, reliability), and back-office (supply chain, HSE, finance) use cases that drive measurable business value. This role presents an exciting opportunity for a seasoned data science supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. This position is located in downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading a small team and prioritizing and manage the data-science backlog; translate business objectives into model roadmaps and delivery plans across subsurface, operational, and enterprise domains. Lead the full model lifecycle—problem framing, experiment design, feature engineering, training/validation, deployment, and post-production monitoring—with strong MLOps practices. Be hands-on: write Python/SQL, build and review notebooks/pipelines, perform code reviews, and mentor the team on statistical rigor and software engineering. Maintain and evolve the team toolset (Azure ML, OpenAI/Azure AI Foundry, Snowflake/feature store, MLflow), ensuring reliability, security, cost control, and access governance. Minimum Qualifications Bachelor’s degree in a quantitative field 7+ years in data science/ML (including time-series, geospatial, and predictive modeling) Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. Strong interpersonal and collaborative skills Demonstrated ability to work in a team-oriented environment Excellent presentation skills Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company Ability to meet deadlines Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications Master’s degree or PHD or certification in Data Science or Data Analytics Familiarity with additional programming languages (SQL, R, C++, etc.) Previous Oil and Gas operator experience Exposure to Petroleum Engineering and Geoscience workflows Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a Data Science Supervisor to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Posted 1 week ago

Tiger Analytics logo

Manager/Senior Manager - Data Science (Pharma & Life sciences)

Tiger AnalyticsJersey City, NJ
Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results. Work closely with clients to understand their business challenges and translate them into data-driven solutions. Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain. Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights. Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions. Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation. Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner. Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team. Requirements 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector. Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies. Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI. Proven ability to work with large datasets and perform complex data analyses. Excellent project management skills and the ability to manage multiple projects and priorities effectively. Strong problem-solving skills and a detail-oriented mindset. Experience in communicating analytical results to senior management and facilitating decision-making processes. Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Posted 30+ days ago

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Data Science and Analytics

Two95 International Inc.New York, NY
Title: Data Science and Analytics Location: New York Duration: 3 Months Required Skills: • Website/mobile (Adobe Analytics) • Data Visualization: advanced Excel, Tableau, Power BI • Marketing Automation • Adobe Test & Target Preferred Skills: • Adobe Analytics • Adobe Test & Target • Marketing Automation Who are you? • Bachelor’s degree, in Marketing, Business, • 8-10+ years of work experience in a quantitative business environment with 5+ years in marketing analytics • Passion for digital analytics, working with data and deriving insights to answer client business questions • Experience leading and delivering marketing analytics engagements • Strong knowledge of the digital space and digital analytics • Strong communication and client service skills • Strong organizational skills and attention to detail • Strong consultative skills and the ability to challenge status quo and gain adoption • Comfortable with working in and contributing to a fast-paced, team-based environment • Management or mentorship experience - providing training, project support, career advice and delegated responsibilities • Proven ability to influence stakeholder and senior leaders, and manage organizational change • The candidate should be a hybrid of analyst, but also storyteller. • Being able to distill data into keen, actionable insights. • They need to be able to synthesize the data. So we need someone who is an excellent verbal and written communicator

Posted 30+ 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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