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Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Title: IBM Data Stage (Big Data Edition) Location: Marlborough, MA Duration: Full Time Salary: $Market Requirements Key skills required for the job are: IBM Data Stage Big Data Edition-L3 (Mandatory) Data Stage Admin-L3 IBM Info sphere CDC-L3 As a Lead Administrator, you should be able to act as a Single point of contact for the technical tower in front of the customer management. Ensure proper communication and quick resolution as a crisis manager. Responsible for Vendor Management and people management. Drives day to day operations and work plan allocation/management. Conduct periodic reviews with teams. Weekly and monthly status reports to higher management. Participate in business meetings with various stake holders. Take corrective actions based on the customer satisfaction surveys. Drive service improvement programs. Ensure adherence to quality / security standards defined for the engagement Perform Trend analysis, identify top few incidents and work with respective teams/individual to minimize the incidents. Effort estimation/reviews on need basis for new projects. Minimum work experience:5 - 8 Years Benefits Note: If interested please send your updated resume to sagar.chand@two95intl.com and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!

Integrity Management Services, Inc. (IntegrityM) is a woman-owned small business specializing in assisting government healthcare organizations prevent and detect fraud and abuse in their programs. At IntegrityM, we offer a culture of opportunity, recognition, and collaboration. We thrive off of these fundamental elements that make IntegrityM a great place to work. We offer the flexibility our employees need to challenge themselves and focus on advancing their professional development and careers. Large company perks. Small company feel. www.integritym.com Location: Remote  Employment Type: Part-Time, PRN (estimated 40 hours per month) Reports To: Vice President of PI  Overview The Senior Data Scientist handles advanced analytics, AI/ML modeling, and large-scale data integration to lead the development of fraud detection models for federally funded public healthcare programs to include statistical research, policy, and cutting-edge technology to detect, quantify, and mitigate fraud. Key Responsibilities Lead the design, development, and implementation of advanced fraud detection and risk-scoring algorithms leveraging AI, machine learning, and explainable AI techniques, with a focus on linked, cross-agency datasets. Architect and oversee secure data pipelines to integrate, clean, and standardize heterogeneous datasets, including federal, state, and open-source data. Apply deterministic and probabilistic record linkage methods within a secure environment, ensuring compliance with security protections, and statistical purposes requirements. Conduct literature reviews to identify and adapt fraud taxonomies, definitions, measures, and behavioral indicators for healthcare fraud. Collaborate closely with stakeholders and other agencies to incorporate subject matter expertise into model design. Develop analytical workflows for unstructured data preparation, data quality assessment, and anomaly detection across multi-source linked data. Deliver reproducible, open-source analytical outputs, including datasets, codebooks, algorithms, dashboards, and documentation suitable for public release. Translate analytical findings into actionable insights for both technical and policy audiences via reports, dashboards, and briefings. Provide technical leadership and mentorship to multidisciplinary project teams, ensuring adherence to agile, collaborative, and transparent project practices. Requirements Required Qualifications 10+ years of progressively responsible experience in data science, statistical modeling, and advanced analytics, with a proven record of operationalizing AI/ML solutions. Demonstrated expertise in fraud detection, anomaly detection, or risk scoring in healthcare, finance, or other regulated sectors. Significant experience integrating and linking large-scale, multi-source datasets, including restricted and unstructured data. Mastery of Python, R, and similar, with experience in distributed processing frameworks (e.g., Spark) and secure cloud environments. Strong understanding of statistical methods, supervised/unsupervised learning, and explainable AI techniques. Familiarity with federal data privacy, confidentiality laws, and secure data handling (HIPAA). Exceptional written and verbal communication skills, with the ability to produce clear, concise, and actionable deliverables for diverse stakeholders. Degree (Master’s or PhD) in Data Science, Statistics, Computer Science, Applied Mathematics, or related discipline. Preferred Qualifications Advanced degree (Master’s or PhD) in Data Science, Statistics, Computer Science, Applied Mathematics, or related discipline. Experience working with Medicare, Medicaid, or other large-scale healthcare claims and provider datasets. Knowledge of MOU development for data sharing, especially in interagency environments. Prior experience with similar secure statistical research environments. Track record of publishing or presenting in professional or policy forums.  

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

Senior Data Engineer, Data Services The target hiring range for this position is $123,000-$145,000. Position Summary: The Senior Data Engineer, Data Services In will partner with function leaders to discover, plan, build, and monitor business automation. The primary responsibility of this position is to create, manage, optimize, oversee, and monitor data pipelines that transform data from source systems, cleanse source data, and ultimately insert cleansed data into target systems. The Data Engineer III, Information Systems will support organizational strategies in making data-driven decisions through the development of processes that demonstrate understanding, interpretation, and presentation of organizational data.  Role and Responsibilities: Leads meetings, research processes, collects data, analyzes information, and collaborates with the key stakeholders on all projects  Researches, strategizes, and writes proposals to advance existing systems and manage new requirements  Identifies, designs, and implements internal process improvements including automating manual processes, and optimizing data delivery  Interprets business requirements and translates them into the proper system and technical requirement specifications for development  Mentors other Data Engineers when necessary.   Ability to demo, research solutions, and then teach those findings to other Data Engineers   Performs highly complex data analysis of business issues to determine root cause, deliver missing data, and remediate underlying issues moving forward  Assists with analyzing, troubleshooting, and enhancing existing data integration processes  Supports internal and external teams in various testing efforts for data issues and resolutions  Reviews, redesigns, and expands existing analytics and data processing architecture to create an optimal data pipeline  Ability to collaborate with other Data Engineers and function leader to maintain project catalog and priorities  Participates in the successful implementation of other functional projects as they arise  Qualifications and Education Requirements: A bachelor's degree from an accredited institution in Computer Science, Data Science, Engineering, or a related field is required  A minimum of five years of programming experience is required, experience with Python is preferred  A minimum of five years of experience with SQL is required  A minimum of two years' experience with a data warehouse, preferably Snowflake  Demonstrated experience using REST APIs, SFTP, file manipulation, JSON, XML  Has used, interacted with, and maintained a Git repository  All new hires are required to attend New Collaborator Orientation (NCO) in Salt Lake City, Utah . The College will pay for travel and lodging accommodations . Nightingale's commitment to diversity and inclusion is reflected both in our learners and collaborators because we believe the best outcomes for learners from underserved and diverse populations are achieved through collaborators with similar backgrounds and cultures. Nightingale College is an equal opportunity employer. Our Mission (not just words on the wall, we live it, love it, and daily contribute to it) : With the primary focus on higher learning in healthcare professions, Nightingale College contributes to elevating education, health, and employment systems through facilitation of academic achievement, personal growth, and professional development of its learners, alumni, and collaborators, while serving diverse communities. At Nightingale College, our Innovative Education model helps transform rural health landscapes through our blended-distance learning platform. Every person involved with Nightingale College helps to change the lives of our learners, our communities, and ultimately the world by adding to the quality of healthcare. We are proud to have graduated over 3,400 nurses serving communities in need. We are serious about our outcomes and have a little bit of fun getting there. The professional and personal development of our learners and our collaborators is our company's foundation. Not only do we develop strategies that promote a positive work-life integration, but we also create an environment that invites you to become an expert in your field, be it through higher education or professional development. Put simply, we elevate employment, elevate health, and elevate education. We're so happy that you've found us!

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: Qualified Health is seeking a Staff Data Engineer to serve as both a hands-on technical leader and architectural authority for our data integration and transformation infrastructure. In this role, you'll combine deep healthcare data expertise with sophisticated engineering practices to design, implement, and maintain robust, scalable ETL pipelines that power our AI platform. You'll directly build and deploy critical data infrastructure while also driving its strategic evolution, working independently and collaborating with cross-functional teams to enhance our platform's data processing capabilities. Key Responsibilities: Lead by doing: directly architect, implement, configure, and deploy enterprise-grade data pipelines that handle complex healthcare data at scale Own the end-to-end technical implementation of critical data infrastructure, from initial setup through production deployment and ongoing maintenance Drive technical planning and architecture discussions with health system partners and platform teams, defining and implementing data transformation patterns that balance scalability, reliability, and maintenance considerations Provide hands-on technical oversight of ETL implementations, ensuring robust error handling, monitoring, and operational excellence Develop, test, and deploy reusable ETL components and frameworks to accelerate development and ensure consistency across pipelines Implement sophisticated data quality checks and monitoring solutions to ensure reliable data processing Actively debug and optimize pipeline performance, solving complex data processing challenges in production environments Provide authoritative guidance on healthcare data formats, ETL patterns, and data quality best practices to both internal teams and implementation partners Mentor data engineers through direct collaboration on technical implementations while driving adoption of best practices Partner with platform architects to resolve complex data integration challenges and ensure production reliability Influence technical roadmap based on deep understanding of healthcare data processing needs and hands-on implementation experience Required Qualifications: 8+ years of experience in data engineering, with demonstrated expertise in healthcare data processing and ETL architecture Extensive hands-on experience building and deploying production ETL pipelines using modern cloud technologies Deep technical knowledge of healthcare data standards and formats (FHIR, HL7v2, CDA, X12) Domain knowledge of EHR-specific data formats and integration mechanisms (Epic Clarity, eClinicalWorks, Cerner or others) Proven track record implementing enterprise data warehouse solutions (Snowflake, Databricks) and their associated ETL patterns Strong history of directly building and deploying complex ETL solutions in regulated environments Demonstrated ability to both architect solutions and implement them hands-on at enterprise scale Advanced software engineering capabilities with extensive experience in: Python (and especially modern Python-native patterns for type safety) Azure cloud platform, services and patterns (Data Factory, Databricks, Fabric, networking, ADLS2, Onelake) Advanced SQL and data modeling Distributed computing and data processing frameworks CI/CD pipelines for data infrastructure Infrastructure as Code (IaC) tools and practices Outstanding written and verbal communication skills, with ability to explain complex data architectures to varied audiences while documenting implementations thoroughly Bachelor's degree in Computer Science, Engineering, or related field Preferred Qualifications: Extensive hands-on experience establishing clinical data feeds from Epic (and ideally other major EHRs) through FHIR, SFTP, Delta Sharing, Fabric External Shares, Snowflake Reader Accounts and similar patterns Experience implementing data pipelines for AI/ML applications in healthcare Deep expertise in Azure cloud services with hands-on implementation experience Practical experience implementing HIPAA and HITRUST compliance requirements in data infrastructure Track record building real-time data processing and streaming architectures Relevant data engineering or cloud platform certifications Master's degree in relevant field Technical Environment: Our data infrastructure is built on modern cloud technologies including: Azure Databricks + Data Factory Plus Fabric and Snowflake integrations PySpark Github / Actions + Terraform for CI/CD and IaC The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them. Impact & Growth Opportunity: As a Staff Data Engineer at Qualified Health, you'll play a crucial role in both building and evolving the data foundation that powers our AI platform's ability to deliver insights to major health systems. You'll have the opportunity to directly implement critical infrastructure while influencing our technical architecture and platform capabilities, working with cutting-edge technologies that improve healthcare delivery. This position offers significant visibility and growth potential as we scale our platform across the healthcare ecosystem. What We Offer: Competitive startup salary and equity packages. Health, dental, and vision insurance. Flexible working hours and hybrid work options. An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes. A vibrant and inclusive work environment that fosters creativity and innovation. Pay & Benefits: The pay range for this role is between $160,000 and $220,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor ’ s in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master ’ s degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

About us: Navaide: Catalysts for a Stronger Tomorrow: At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities. Position: Data / Information Architect – Navy Data Model | MDM | Ontology About the Role: As a Data / Information Architect at Navaide, you will shape the foundation of secure, interoperable, and mission-aligned data architectures for federal clients—especially within the defense ecosystem. You will ensure that enterprise data solutions align with Navy data models, ontologies, and master data management (MDM) principles to support transparency, integration, and readiness across operational systems. How you will Make an Impact: You'll work at the intersection of enterprise architecture, data governance, and semantic modeling to help define the future of defense data interoperability and enable secure data sharing across platforms and mission sets. Relevant Skills and Experience: 7+ years of experience in enterprise data architecture, modeling, or information systems Deep understanding of DoD and Navy data models, especially DON Data Strategy, Navy Logical Data Model (NLDM), or NAVWAR data architecture Hands-on experience implementing Master Data Management (MDM) frameworks across large enterprises Knowledge of ontologies, taxonomies, and semantic data modeling Familiarity with UML, ER modeling, and standards such as RDF, OWL, or SKOS Experience with enterprise data dictionaries, metadata management, and data stewardship Strong collaboration skills with system architects, data governance leads, and business stakeholders Duties & Responsibilities: Align enterprise data models with Navy and DoD reference architectures and data standards Design and implement MDM solutions for shared data domains and consistent master records Develop and maintain ontologies, semantic models, and controlled vocabularies to enhance data interoperability Support data lineage, quality, and governance efforts across multiple programs and domains Work with solution architects and platform leads to embed data architecture into system design Document data architecture artifacts and provide training or advisory support for data governance councils Evaluate current data environments and provide modernization roadmaps to achieve semantic alignment and reusability Security Clearance: Must be eligible to receive a DoD security clearance Travel: Occasional travel may be required (<25%) Education: Bachelor's or Master's degree in Information Architecture, Data Science, Computer Science, or a related field. Equivalent experience may be considered in lieu of a degree. Why Navaide? Join a growing, fast-paced team solving meaningful challenges for the Department of Defense. For more about us, please check out the following links: About Navaide Other Opportunities Employee Benefits Connect with us on LinkedIn! Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Participation: E-Verify Participation Poster IER Right to Work Poster No third parties, please.

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.

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

Support Engineering Data Specialist (Support Engineering Data) Company: The Boeing Company Boeing Global Services (BGS) is seeking a Support Data Engineering Specialist to develop Built-In Test (BIT) Rule Authoring data in support of Aircrew and Maintenance Debrief across multiple F-15 programs. This candidate will work collaboratively with Boeing employees, customers, and contractors to fulfill the F-15 BIT Rule Authoring contractual requirements. The candidate selected for this position will work within an Engineering Capability team providing 100% on-site support at the Hazelwood, MO facility Position Responsibilities: Analyze engineering data to build system fault rules based on Boolean logic. Read and interpret fault description tables from technical publications and incorporate them into various debrief tools. Use a variety of tools and common desktop software to gather, analyze, and generate report data. Build or update access databases used for debriefing and general aircraft information. Build .DLG graphics and forms for systems that have observable fault indications that aid in troubleshooting using an XML format. Resolve source data gaps and inconsistencies with data originator. Build test cases to validate forms in XML database. Support customer verification reviews and take corrective action based on outcome. Assist in providing technical solutions to customers’ questions; evaluate customers' maintenance operations. Work collaboratively in a team environment with multiple internal engineering and support teams (program management, engineering, software, and technical publications) to reach mutually acceptable decisions. Participate/lead in-person and virtual working group meetings. Confidently and professionally, work with customers and suppliers. Demonstrate excellent verbal and written communication skills. Be organized, logical, and meticulous. Attention to detail is critical. Understand and work within budget and schedule constraints. Be able to meet demands of multiple customer deliveries. This position requires the ability to obtain a US Secret Security Clearance for which the US Government requires US Citizenship. An interim and/or final U.S. Secret clearance Post Start is required. Basic Qualifications (Required Skills/Experience): Minimum 3-year relevant experience with aircraft electrical, mechanical or systems engineering or equivalent military experience. 3-4 years’ experience with military and/or commercial aircraft technical manuals, task relationships and familiar with Technical Orders and/or Technical Order System requirements. Able to understand and interpret engineering data with previous experience using Technical Publications to maintain military/commercial aircraft. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree in a related technical field, or higher. Strong analytical and problem-solving skills, with the ability to evaluate complex technical information and make informed decisions. Experience using Microsoft Office Products (Outlook, Power Point, Excel, Access and Word). Ability to understand the big picture and the inter-relationships of all activities within the debrief system. Typical Education/Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, engineering technology (including manufacturing engineering technology), computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 9 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and several programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: 79,900 – 108,100 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Job Overview Wargaming is looking for a proactive, excited and determined Game Data Analyst/Data Scientist to strengthen the World of Tanks product analytics team. We collect all kinds of information about the player behavior and the events in the 'WoT universe': from economic, financial and detailed combat data to the precise coordinates of each shot and tank movement, interface telemetry and many others. All of them are routed to a singular database and are available for analysis 24/7. You will be working with the WoT Product Team responsible for decision-making process, with the Data Warehouse team responsible for data storage, reports system and our infrastructure, as well as 60 analytics all over the world united under Wargaming Global Analyst Network. What will you do? Helping deliver important analytical insights to managers and other product teams necessary for decision making Use quantitative analysis to understand how the game is played and identify impact and growth opportunities Participating in analytical maintenance for features, game events and modes throughout all development and release stages: Pre-Production Analytics: modeling likely outcomes and risks from implementing new features, game modes and events into the game; predict the future events, product KPIs and metrics; providing analysis of their full development cycle (from concept to release) Production Analytics: developing and preparing analytical reports, metrics and methodologies for evaluating features, game modes and events in operation; looking for anomalies and insights that help increase effectiveness of the product and its parts Operation Analytics: creating and supporting analytical tools and interfaces (dashboards) for rapid updates on the status of the product and its subsystems delivered to the management and the responsible teams Gather and formulate requirements, conduct analytical research from producers, PMs, UX/UI and game designers, developers, QA and artists Presenting the research results and filling the product analytics knowledge base to share with other teams What are we looking for? 5+ years experience on a similar position Understanding the principles of formalizing business tasks in research plans, as well as experience writing analytical reports and presenting their results Advanced SQL knowledge Experience with at least one data visualization solution (Tableau / Qlik / Microsoft Power BI, etc) Experience with Python/R and popular libraries for data processing and analysis Great communication skills, both written and spoken, especially for non-technical audience Written and spoken English (B1 and higher) What additional skills will help you stand out? Being prepared to learn, take in and systemize vast amounts of data within a short time Experience working with Cloudera Impala / Hive, Oracle SQL, Snowflake Knowledge and practical application of machine learning algorithms Rich gaming experience in different games and over 1000 World of Tanks battles Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Annual leave of 20 working days (additional days based on years of service at Wargaming: up to 25 days) Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

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

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: Clinical Data Management Job Category: Professional All Job Posting Locations: Horsham, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine R&D is recruiting for a Data Owner - Manager, Clinical Supply Chain Data. This position is a hybrid role and can be located in Titusville, NJ or Horsham, PA. Our Digital Solutions team has responsibility for the digital transformation of Clinical Supply Chain, in support of planning, manufacturing, purchasing and delivering clinical supplies to thousands of clinics worldwide, in close collaboration with clinical supply functions, our commercial supply chain and Information Technology partners. As a key member of Digital Solutions, The Data Owner - Manager will drive the strategy and implementation of a robust Data infrastructure for digital clinical supply chain, partnering with Johnson & Johnson Technology (JJT) and Data Science teams. Focusing on data integration, engineering, and governance, this individual will play a pivotal role in ensuring that our data ecosystem is scalable, secure and promoting efficient data usage across the organization. A critical requirement of this role is the right mix of technical expertise and business acumen, and a passion for leveraging data for solving business challenges. The Data Owner - Manager will be a proactive and effective problem solver who is intellectually curious and has a proven track record of adopting best practices when dealing with data in the life sciences industry. Principal Responsibilities: Being a Product Owner for the following capabilities: Data Integration: Integration between various technology platforms used in clinical supply chain, e.g., forecasting (4C), Randomization and Trial Supply Management systems (multiple RTSM vendors), SAP, E2E planning (OMP). Data ingestion from various sources into our Data Lake. Data exchange with external partners (i.e., Third-Party Logistics (3PLs), Contract Research Organizations (CROs)/Contract Manufacturing Organizatons (CMOs)). Data Engineering: Design of the data model, working with a data architect and functional stakeholders (e.g., Planning, Logistics). Collaborate with the JJT and Data Science teams on proper data engineering processes to populate the data model. Data Governance: Protect sensitive data in compliance with regulations. Ensure appropriate documentation of data and data lineage. Partner with business data owners in adequate data access management. Partner with business data owners to establish data standards and data quality monitoring. Data-driven decision making: Utilize business acumen to understand organizational needs and use of data to address business problems. Communicate technical data concepts in a clear and actionable manner to foster a data-driven culture. Define multi-year capability, technology, and investment roadmaps for enhancing data maturity in Clinical Supply Chain. Drive adoption and business value realization of investments in data. Take a leadership role to successfully oversee external partners and deliver projects through full data management process lifecycle. Actively network within the industry and enterprise supply chain to proactively benchmark, exchange knowledge and bring in best practices. Create a culture of collaboration, flexibility, and competitiveness by increasing business insight, industry knowledge and skills. Integrate Johnson & Johnson’s Credo and Leadership Imperatives into team goals and decision making. Qualifications: A minimum of a Bachelor’s degree in Information Systems, Computer Science, or a related discipline is required. Advanced degree (Master’s, MBA) preferred. A minimum of 7 years of experience in enabling large data platforms, including responsibilities for data integration, engineering, and governance is required. Experience working with data in the supply chain functions or pharmaceutical clinical studies is highly preferred. Experience of working with tools, such as Snowflake, data build tool (dbt), Tableau or equivalent technologies is required. Experience in the use of Artificial Intelligence (AI), GenAI, Machine Learning (ML) in the data ecosystem is highly preferred. Project management skills, with the ability to balance multiple sophisticated projects and effectively manage stakeholders, is required. Strong leadership skills, with the ability to work collaboratively with multiple teams, is required. Certified Data Management Professional (CDMP) certification highly preferred. APICS Certified Supply Chain Professional (CSCP) or equivalent certification is preferred. Must have excellent communication skills. Must have strong organizational, analytical, and problem-solving skills with a keen attention to detail. The ability to influence leadership in use of data for solving business challenges and strategic solutions is required. The anticipated base pay range for this position in all other U.S. locations is $115,000 to $197,800. 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; 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 For additional general information on company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on March 25, 2025. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications. Johnson & Johnson is an Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability. #LI-Hybrid The anticipated base pay range for this position is : The anticipated base pay range for this position in all other U.S. locations is $115,000 to $197,800. Additional Description for Pay Transparency: 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)). 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 of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. http://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.

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

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications Are you ready to build, lead, and innovate at the forefront of AI? We're looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and real-time big data analytics to design, scale, and optimize high-impact systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future-this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now! Collaborate with brilliant minds across data science, ML engineering, and product strategy Build scalable systems that power real-time insights and intelligent automation Be part of a team that values creativity, ownership, and continuous growth Job Duties, but not limited to: Designing and implementing AI training data pipelines to support scalable machine learning workflows Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics Developing high-performance in-memory data processing solutions using modern frameworks Architecting and delivering microservices-based platforms across Linux and Windows environments Leading design reviews, mentoring engineers, and crafting technical strategy Ensuring code quality, performance, and maintainability through standard processes Qualifications, but not limited to: Advanced degree in Computer Science, Engineering, or a related field 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems. Strong programming skills in C++ and C# Deep expertise in real-time data processing, streaming architectures, and AI/ML workflows Experience with Apache Arrow or similar in-memory columnar data formats Proficiency in both Linux and Windows development environments Familiarity with microservices architecture and containerization tools like Docker and Kubernetes Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years Base Pay Range: $123,000.00 - $209,100.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Who We Are: Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. Position Description: Calico is seeking a Data Scientist/Senior Data Scientist to join the statistical genetics team within the Computational Sciences group. In this position, you will develop and apply cutting-edge computational methods to analyze unique biobank-scale datasets (e.g. UK Biobank) to identify potential drug targets for age-related disease. Two major areas of focus will be analysis of longitudinal datasets to identify factors modulating the trajectory of age-related decline and the analysis of high-dimensional phenotypes. The successful candidate will join a vibrant research community and work closely with internal and external scientific collaborators and will be expected to contribute to the design of target discovery or validation efforts. Position Responsibilities: Develop and apply computational methods suitable for biobank-scale complex or high-dimensional phenotypic datasets from both public and proprietary data sources Conceive, design, and execute studies to interrogate the genetic basis of age-related complex traits and of aging trajectories in large human cohorts Integrate multiple data sources (e.g. clinical data, genetics, 'omics) to develop therapeutic hypotheses for age-related disease Contribute to software and/or workflows for the analysis of cohort data across multiple research projects and development programs Collaborate with and communicate findings effectively to researchers from a broad range of scientific backgrounds, both internally and externally Position Requirements: Ph.D. in genetics, statistics, statistical genetics, computational biology, or equivalent Track record of developing and applying new computational and statistical methods tailored to analyzing novel datasets Experience with the statistical genetic toolkit for complex traits (e.g. GWAS, gene burden tests, statistical finemapping, LD score regression, eQTL/pQTL mapping, colocalization, polygenic risk scores, Mendelian randomization), including methods for ancestrally diverse populations Experience with analyzing large, high-dimensional clinical and/or molecular datasets (for example, imaging, genomics and other 'omics, longitudinal data) Familiarity with large human cohort studies (e.g. UK Biobank, FinnGen, All of Us) Strong coding skills in Python and/or R, including experience developing software and/or workflows that can be readily used by others Strong interpersonal, written, and verbal communication skills, including collaborating with stakeholders from different scientific disciplines Must be able to work onsite at least 4 days a week The estimated base salary range for this role is $120,000 - $185,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.