Data Scientist - Senior

Grvty; Springfield (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

GRVTY in Virginia is seeking a Senior Data Scientist to support intelligence mission-driven analytics and modernization efforts. You will transform large datasets into actionable insights, design scalable data pipelines, and develop production-grade analytic tools and visualizations for mission stakeholders.

You will lead with senior-level Python development, automate processes, and deploy solutions across multidisciplinary teams within the Intelligence Community, aligning analytic workflows

Qualifications

• Active TS/SCI clearance (CI Poly possible).
• Experience supporting intelligence missions with data science or analytics.
• Ability to operate independently at a senior level with minimal oversight.
• Senior-level Python proficiency and production-quality analytic applications.
• Experience designing scalable processes for large, complex datasets.
• Experience developing data models, automation workflows, and repeatable analytic processes.
• Experience creating visualizations, dashboards, and data products.
• Experience managing multiple projects in a high-tempo environment.
• Strong understanding of data analysis, statistics, and data-driven problem solving.
• Excellent written and verbal communication; able to present technical concepts to diverse audiences.
• Familiarity with IC data repositories.
• Ability to collaborate with analysts, engineers, and stakeholders.
• Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.

Responsibilities

• Develop advanced analytic solutions that transform complex intelligence data into meaningful insights.
• Design and implement scalable data pipelines, automation strategies, and analytic processes.
• Build production-ready tools and dashboards to communicate findings to mission partners.
• Prototype and deploy solutions that support evolving customer needs.
• Independently manage multiple projects while collaborating across teams.

Skills

Active TS/SCI clearance

Python programming

Production-quality analytics

Automation workflows

Data modeling

Data visualization

Communication skills

Independent senior-level work

Geospatial data science / GEOINT

IC data repositories familiarity

Collaboration with analysts/engineers

Multitasking in high-tempo environment

Tools

ArcGIS ModelBuilder

Job description

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.

What You'll Be Doing

As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will 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. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.

You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing 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. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs.

Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage.

What You Must Have

• Active TS/SCI clearance (ability to obtain a CI Poly).
• 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.

What Would Be Nice to Have

• 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.

Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.We’re proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth.Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off.

The pay range for this position is: $120,000 - $160,000