Data Scientist
Job in
Falls Church, Fairfax County, Virginia, 22042, USA
Listed on 2026-08-22
Listing for:
Darkhorse Geospatial LLC
Full Time
position Listed on 2026-08-22
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.
WhatYou'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
- 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
- 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
- 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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