Data Scientist, Senior
About the role
GRVTY is hiring a Senior Data Scientist to support an IC program developing an enterprise-scale analytics and data management framework for geospatial intelligence products. The program is in active development — this is not a maintenance role.
Responsibilities
- Develop and apply machine learning, statistical, and data mining techniques to extract metrics and insights from large-scale geospatial and imagery datasets.
- Design and implement automated analytical workflows that support IV&V evaluation of GEOINT data products across multiple source types and collection geometries.
- Build and optimize data pipelines for ingesting, transforming, and processing multi-source geospatial data at scale.
- Work with software engineers and the solutions architect to integrate analytical components into the broader system architecture — your models need to run in production, not just notebooks.
- Evaluate analytical output quality, identify failure modes, and iterate on methodology to improve metric accuracy and reliability.
- Collaborate directly with government stakeholders to understand mission requirements, validate that analytical outputs are operationally meaningful, and communicate findings clearly.
- Document analytical methodologies, model assumptions, validation approaches, and limitations to a standard that supports program continuity and government review.
- Contribute to trade studies and capability assessments as the program expands into new data types and evaluation scenarios across option years.
Requirements
- Active Top Secret clearance with ability to obtain SCI and CI Polygraph.
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related quantitative field. Equivalent experience will be considered.
- 9+ years of professional experience in data science, machine learning, or applied analytics, with a track record of delivering production-quality work on real programs.
- Strong Python programming skills, including experience with scientific computing libraries such as NumPy, pandas, scikit-learn, and SciPy.
- Experience building and deploying end-to-end analytical pipelines — not just exploratory analysis, but workflows that run reliably in operational or near-operational environments.
- Experience working with large, complex, or multi-source datasets, including data quality assessment and remediation.
- Ability to communicate analytical methods and results clearly to both technical teammates and non-technical government customers.
- Comfortable working in a structured program environment with formal deliverables, government oversight, and documentation requirements.
Qualifications
- Experience with geospatial data, imagery products, or remote sensing datasets — familiarity with the data types matters here.
- Prior work supporting NGA, NRO, or other IC programs, particularly in an analytical or data science capacity.
- Experience with geospatial Python libraries such as GeoPandas, Shapely, Rasterio, or GDAL.
- Familiarity with NGA data systems, GEOINT product formats, or IC data standards.
- Experience deploying analytical workloads in classified or air-gapped IC environments.
- Experience with graph-based or network analytics methods applied to complex, multi-source datasets.
- Experience with ML/Ops practices — reproducible training pipelines, model versioning, experiment tracking.
- Advanced degree in a quantitative field.
Skills
- Machine Learning
- Data Mining
- Statistical Analysis
- Python Programming
- Data Pipelines
- Geospatial Data
- Remote Sensing Datasets
- Automated Quality Assessment
- Data Validation
- IV&V Methodologies
- Graph-Based Analytics
- ML/Ops Practices
Benefits
- Competitive Pay
- Comprehensive Benefits
- Retirement Planning
- Family Assistance
- Continued Education
- Paid Time Off and Holidays
- Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
Pay
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.
Virginia Pay Range $190,000—$240,000 USD