Data Scientist - Senior
About this role
Technical professionals who thrive on untangling complex national security challenges and modernizing intelligence workflows will find a strong fit at GRVTY. The organization supports analytic and modernization efforts across the Intelligence Community by building scalable solutions, data pipelines, and automation strategies that turn large datasets into actionable intelligence.
In this role, the team member will independently design production-ready Python tools, craft intuitive visualizations, and prototype solutions for evolving customer requirements. The position exists to provide technical leadership and bridge the gap between technical data science and daily operational decision-making in a fast-paced environment.
What you will do
- Develop advanced analytic solutions that translate complex intelligence data into meaningful insights for mission stakeholders.
- Design and implement scalable data pipelines, automation strategies, and repeatable analytic processes across large datasets.
- Utilize senior-level Python programming skills to build production-ready tools and automate manual operational procedures.
- Create clear visualizations and dashboards to help mission partners integrate data-driven insights into daily operations and strategic plans.
- Manage multiple concurrent projects independently while collaborating with multidisciplinary teams across the Intelligence Community.
What you need
- 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.
- Senior-level proficiency in Python with a track record of developing production-quality analytic applications and automation solutions.
- Proven ability to design and implement scalable processes for large, complex datasets to identify trends and analytical discoveries.
- Experience creating dashboards and data products that effectively communicate complex analytical findings to support operational decisions.
- Strong understanding of data analysis, statistical methods, and data-driven problem solving, paired with excellent communication skills.
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.
Benefits
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
Skills and tech stack
Questions candidates ask
What is the pay range for this position?
The pay range for this position is $120,000 - $160,000 USD. Compensation is influenced by factors such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
What clearance is required to apply?
Candidates must have an active TS/SCI clearance with the ability to obtain a CI Poly. This clearance supports mission-driven analytic and modernization efforts across the Intelligence Community.
What technical stack and tools will I use?
The role utilizes senior-level Python programming for production-ready tools and automation. Additional familiarity with low-code or no-code platforms like JEMA, Brewlytics, or ArcGIS ModelBuilder is nice to have.
What benefits are included with employment?
The company offers coverage including a robust health plan with medical, dental, and vision, a Health Savings Account with company contribution, annual paid time off, paid holidays, paid parental leave, and a 401k with a generous company match.