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, Tensor Flow, 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.