Data Scientist with Security Clearance

Data Scientist
Darkhorse Geospatial · On-site (DC Metro Area) · Full-time
About the Role
Darkhorse Geospatial is hiring Data Scientists to turn complex, high-volume data into mission-ready intelligence for our federal customer. You'll build analytics, AI/ML models, and data pipelines that answer hard questions — extracting, transforming, and modeling data from a wide range of sources, then communicating findings through clear visualizations, dashboards, and briefings. You'll work shoulder-to-shoulder with engineers, analysts, and operators to deliver tools that get used.

What You'll Do • Extract, transform, and load data from diverse systems using Python and SQL • Build and maintain data pipelines and ETL workflows for analytics and AI/ML • Develop, evaluate, and deploy AI/ML models — including large language models — to address mission needs • Conduct statistical, mathematical, geospatial, and data-mining analysis • Design dashboards, visualizations, and infographics (Tableau, Tableau Prep) that make complex data actionable • Package models as reliable services and operator-focused dashboards (MLOps) • Build schemas and data models; query relational, graph, and search databases • Consult with customers to clarify analytic requirements and recommend data-driven solutions • Brief technical and non-technical audiences; produce reports, decks, and user documentation
Core Skills We're Looking For • Strong proficiency in Python and SQL • Hands-on experience with data pipelines, ETL, and large/heterogeneous datasets • Applied AI/ML experience — model training, evaluation, and integration of pre-trained models (PyTorch, TensorFlow, scikit-learn) • Cloud compute environments (AWS preferred — EC2, S3, Lambda) • Data visualization with Tableau (or equivalent) and dashboard design • Statistical analysis, data modeling, and algorithm fundamentals • Clear written and oral communication with technical and non-technical audiences
Nice to Have • Containerization and MLOps (Docker, Kubernetes, model serving) • Graph databases and query languages (Neo4j, Cypher) • App frameworks for analytic UIs (Flask, Gradio, Streamlit) • Geospatial analysis and GIS tooling • Elastic / Kibana, Elastic Data Analyst certification • Experience working in a cloud or data lake environment • Familiarity with JIRA and Agile delivery
Qualifications • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Physics, or related field (or equivalent experience) • U.S.

Citizenship required • Active TS/SCI with Polygraph required Apply

Darkhorse Geospatial is an equal opportunity employer.