• Lead user research and prototyping new features • Implement Machine Learning Systems • Deliver actionable intelligence from large data sets • Mine and analyze customer business experience data

• As a Senior Data Scientist, you will be a strategic leader in driving our data product strategy and establishing best practices across the organization. • You will leverage deep analytical expertise and technical leadership to transform complex business challenges into innovative, scalable data solutions. • You will lead the discovery and development of high-impact data products, working closely with Product, Engineering, and Business leadership to define roadmaps and drive company-wide initiatives. • Your strategic thinking and mentorship will elevate the capabilities of partner teams and shape the direction of our data science practice. • You excel at navigating ambiguity and complexity, defining strategic priorities, and leading projects that span multiple teams and business areas. • Your proven ability to independently architect solutions, influence stakeholders at all levels, and deliver measurable business impact will be critical to your success. • As a senior member of the team, you will mentor junior data scientists and contribute to building a world-class data science culture. • Own the end-to-end research process, from hypothesis generation to implementation roadmap, and effectively communicate strategic recommendations to leadership.

• Establish and maintain metadata governance frameworks, ensuring compliance with DoD data management policies and interoperability with Data Catalog. • Develop automated metadata tagging processes to improve data discoverability, classification, and lineage tracking within the Common Intelligence Picture (CIP) platform. • Implement and manage data governance workflows, ensuring integration with OpenLineage, Unity Catalog, and GIS metadata standards. • Submit the Metadata & Data Governance Compliance Report, detailing lineage tracking, classification policies, and security enhancements.

• Collect, integrate, clean, validate, and analyze workforce and training data from multiple sources. • Design and implement statistical models and predictive algorithms to support workforce planning, forecasting, and program evaluation. • Develop and maintain dashboards, reports, and data visualizations that communicate actionable insights to leadership and stakeholders. • Conduct ad hoc analyses to address emerging workforce and training requirements and produce rapid-turn analytical products. • Advise on data governance, privacy requirements, ethical data use, and documentation standards. • Collaborate with staff and stakeholders to define analytic requirements, measures of effectiveness, and reporting cadence. • Deliverables (As Requested): Cleaned datasets, data dictionaries, and repeatable analytic workflows. Workforce/training metrics and performance measures (definitions and calculation logic). Predictive models/forecasts and concise model documentation (assumptions, validation, limitations). Dashboards and recurring reports for leadership and program stakeholders. Ad hoc analytic briefs, slides, and decision-support memos. Recommendations for data governance and privacy/ethical data practices.