Data Scientist - Senior

Description

The company supports intelligence community modernization and mission-driven analytic work.

The role is a senior data science position that turns large, complex intelligence datasets into findings decision-makers can act on, while modernizing analytic workflows and building scalable solutions.

The work involves intelligence and operational problems, with direct collaboration with intelligence professionals.

Responsibilities

• Build advanced analytic solutions that turn complex intelligence data into insights for mission stakeholders.
• Design and implement scalable data pipelines, automation approaches, and analytic processes that help analysts spot patterns, trends, and operational opportunities across large, varied datasets.
• Apply data science methods to difficult mission problems, improving the efficiency, repeatability, and rigor of analytic work.
• Use senior-level Python to build production-ready tools, automate manual work, and create reusable analytic capabilities.
• Create visualizations and dashboards that present complex findings clearly, so mission partners can use them in daily operations and strategic planning.
• Rapidly prototype and deploy solutions as new requirements arise.
• Manage several concurrent projects on your own while working with multidisciplinary teams across the Intelligence Community.
• Lead technical work on modern data science practices, keeping solutions scalable, maintainable, and aligned with enterprise modernization efforts.

Requirements

• Active TS/SCI clearance, with the ability to obtain a CI Poly.
• Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
• Ability to work independently at a senior level with minimal oversight.
• Senior-level Python skills and experience building production-quality analytic applications and automation.
• Proven record of designing scalable processes for large, complex datasets to find trends, patterns, and discoveries.
• Experience building data models, automation workflows, and repeatable analytic processes.
• Experience creating visualizations, dashboards, and data products that communicate complex findings and support operational decisions.
• Experience managing multiple projects at once in a high-tempo operational setting.
• Solid grounding in data analysis, statistical methods, and data-driven problem solving.
• Strong written and verbal communication, including presenting technical ideas to varied audiences.
• Familiarity with common Intelligence Community (IC) data repositories.
• Proven ability to work effectively with analysts, engineers, and mission stakeholders to deliver new solutions.
• Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
• Nice to have: experience with other programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
• Nice to have: experience building enterprise-level dashboards and visualizations with modern business intelligence tools.
• Nice to have: experience applying machine learning or artificial intelligence to intelligence problems.
• Nice to have: experience with cloud-based data platforms and distributed computing.
• Nice to have: experience mentoring junior data scientists or leading technical modernization initiatives.
• Nice to have: knowledge of DevSecOps principles and modern software development practices.

Conditions

Pay is $120,000 - $160,000 USD for the Virginia location, and actual pay depends on factors such as location, federal contract labor category, wage rates, experience, skills, education, and certifications.

The company aims for a strong work-life balance.

Equal opportunity statement not provided in the posting.

Benefits

• Healthcare plan with medical, dental, and vision coverage.
• Health Savings Account with company contribution.
• Annual paid time off and paid holidays.
• Paid parental leave.
• 401k with a generous company match.
• Training and development opportunities.
• Award programs.
• Company-sponsored events.
• Coverage for healthcare, financial wellness, retirement planning, family assistance, and continued education.