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Job description
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
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Worksite address
falls church, VA, 22042, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.