Senior Data Scientist, Geospatial Analytics & Production ML

Socket.dev; Chantilly (VA); On-site; USD 190,000 - 240,000; Full time

Job summary

GRVTY is seeking a Senior Data Scientist to develop an enterprise-scale analytics framework for geospatial intelligence. The role combines ML, data mining, and production pipelines to deliver mission-critical insights from large multi-source datasets.

The candidate will collaborate with engineers and government stakeholders, ensure outputs are technically sound and operationally relevant, and contribute to the program's growth across data types and evaluation scenarios.

Qualifications

• 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.

Responsibilities

• Develop and apply ML, statistical, and data mining techniques to extract metrics and insights from 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.
• Collaborate with software engineers and solutions architect to integrate analytical components into the broader system architecture—production-ready models.
• Evaluate analytical output quality, identify failure modes, and iterate to improve metric accuracy and reliability.
• Communicate findings to government stakeholders and ensure outputs are mission-relevant and actionable.
• Document methodologies, validation approaches, and limitations to support program continuity and review.
• Contribute to trade studies and capability assessments as data types expand.

Skills

Python programming

End-to-end pipelines

Data quality & remediation

Communication of analyses

Geospatial data familiarity

Education

Bachelor's degree in Data Science/CS/Math/Stats

Tools

NumPy

pandas

scikit-learn

SciPy

Job description

GRVTY is seeking a Senior Data Scientist to develop an enterprise-scale analytics framework for geospatial intelligence. The role combines ML, data mining, and production pipelines to deliver mission-critical insights from large multi-source datasets.

The candidate will collaborate with engineers and government stakeholders, ensure outputs are technically sound and operationally relevant, and contribute to the program's growth across data types and evaluation scenarios.