Data Scientist - Senior

Grvty•McLean, VA

About The Position

GRVTY is seeking a Senior Data Scientist to support mission-driven analytics and modernization efforts across the Intelligence Community. The role uses advanced analytics, automation, data modeling, and visualization to address complex intelligence and operational challenges. The Senior Data Scientist transforms large, complex datasets into actionable intelligence, modernizes analytic workflows, and develops scalable solutions that support enterprise decision-making and mission success. The role involves developing advanced analytic solutions and scalable data pipelines, automation strategies, and analytic processes to help analysts identify patterns, trends, and operational opportunities across diverse datasets. The Senior Data Scientist works directly with intelligence professionals to solve mission problems and improve the efficiency, repeatability, and rigor of analytic workflows. Responsibilities include using Python to build tools, automate manual processes, and create reusable analytic capabilities; developing visualizations and dashboards to communicate findings; and rapidly prototyping and deploying solutions as customer requirements evolve. In a fast-paced, mission-focused environment, the Senior Data Scientist independently manages multiple concurrent projects and collaborates with multidisciplinary teams across the Intelligence Community. The role applies modern data science practices to ensure solutions are scalable, maintainable, and aligned with enterprise modernization initiatives.

Requirements

  • Active TS/SCI clearance; ability to obtain a CI Poly.
  • Senior-level proficiency in Python.
  • Experience developing production-quality analytic applications and automation solutions.
  • Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
  • Experience developing data models, automation workflows, repeatable analytic processes, visualizations, dashboards, and data products that communicate complex findings and support operational decision-making.
  • Excellent written and verbal communication skills, including the ability to present technical concepts to diverse audiences.
  • Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
  • Ability to operate independently at a senior level with minimal oversight.

Nice To Haves

  • Experience with additional programming languages or low-code/no-code platforms.
  • Experience applying machine learning or artificial intelligence techniques to intelligence problems.
  • Experience working with cloud-based data platforms and distributed computing environments.

Responsibilities

  • Develop advanced analytic solutions that turn complex intelligence data into meaningful insights for mission stakeholders.
  • Design and implement scalable data pipelines, automation strategies, and analytic processes for large and diverse datasets.
  • Apply data science techniques to intelligence mission problems and improve the efficiency, repeatability, and rigor of analytic workflows.
  • Use Python to build tools, automate manual processes, and develop reusable analytic capabilities.
  • Develop visualizations, dashboards, and data products that communicate complex findings clearly and support decision-making.
  • Rapidly prototype and deploy solutions to support evolving customer needs.
  • Independently manage multiple concurrent projects and collaborate with multidisciplinary Intelligence Community teams.
  • Apply modern data science practices to produce scalable, maintainable solutions aligned with enterprise modernization initiatives.

Benefits

  • Comprehensive benefits package covering healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.
  • Medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Annual paid time off and paid holidays.
  • Paid parental leave.
  • 401(k) with company match.
  • Training and development opportunities.
  • Award programs.
  • Company-sponsored events.
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