Data Scientist

Darkhorse Geospatial LLC

Herndon, VA, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 JIRA Cloud Computing Software Documentation Databases Extract Transform Load (ETL) Data Mining Data Visualization Query Languages

+21 more

Graph Database Python (Programming Language) Machine Learning Neo4j Tensorflow Standard Sql Tableau (Software) Pytorch Flask (Web Framework) Large Language Models Containerization Data Lakes Scikit Learn Kubernetes Information Technology Machine Learning Operations Functional Programming Kibana Streamlit Framework Data Pipelines Docker

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

Requirements

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, * 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