Darkhorse Geospatial

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, Statistics, Computer Science, or related field (or equivalent experience)
• Active TS/SCI with Full Scope Poly