Senior Data Scientist

Grvty•Saint Louis, MO

27d

About The Position

We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success.

Requirements

Active TS/SCI clearance (ability to obtain a CI Poly preferred).
Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
Ability to operate independently at a senior level with minimal oversight.
Senior-level proficiency in Python and 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, and repeatable analytic processes.
Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making.
Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment.
Strong understanding of data analysis, statistical methods, and data-driven problem solving.
Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
Familiarity with common Intelligence Community (IC) data repositories.
Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions.
Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.

Nice To Haves

Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools.
Experience applying machine learning or artificial intelligence techniques to intelligence problems.
Experience working with cloud-based data platforms and distributed computing environments.
Experience mentoring junior data scientists or leading technical modernization initiatives.
Knowledge of DevSecOps principles and modern software development practices.

Responsibilities

Develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders.
Design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets.
Apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.
Leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities.
Design compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning.
Rapidly prototype and deploy solutions that support evolving customer needs.
Independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community.
Provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives.
Advance intelligence capabilities by transforming data into operational advantage through innovation and continuous improvement.