Senior Data Scientist

Senior Data Scientist role supporting customer missions using geospatial intelligence data in Springfield, VA or St. Louis, MO.

Responsibilities

• Conduct quantitative analysis to support mission needs.
• Create visualizations that inform decisions.
• Develop and maintain software to keep geospatial data pipeline operations running and visible.
• Leverage experience with EO or SAR imagery, including understanding collection-related data quirks.
• Write Python to transform EO/SAR data into usable outputs.

Requirements

• Active TS/SCI clearance.
• Hands-on experience with AI/ML technologies and the data systems that feed them.
• Comfort working across complex geospatial data formats, including JSON, XML, and related file types.
• 3+ years of quantitative analysis, visualization development, and data processing, including ETL and work with SQL/NoSQL databases.
• Python development experience for data cleaning and manipulation.

Technologies

• Python
• AI/ML
• JSON
• XML
• SQL
• NoSQL
• ETL

Desired Qualifications

• Experience applying NLP to extract information from documents.
• Solid math and statistics background, including classification, regression, clustering, and causal modeling.
• Exposure to IC analytic modernization efforts such as computer vision, automated collection, or automated reporting.

Location

• Springfield, VA (onsite)
• Support also for missions in St. Louis, MO

Compensation

• USD 150,000 - 175,000 per year
• Expected salary range applies to the Washington, DC metropolitan area: $150,000-$175,000.
• Final compensation varies based on experience, education, geographic location, and contractual requirements; not a guarantee.

Benefits

• Health / Dental / Vision
• 401(k)
• Paid Time Off
• STD/LTD/Life Insurance / Voluntary Life Insurance
• Stipends
• Referral Bonuses