Senior Data Scientist

GeoYeti

• $150K — $175K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Active TS/SCI clearance
  • Hands-on experience with AI/ML technologies and their data systems
  • Familiarity with geospatial file formats like JSON and XML
  • 3+ years in quantitative analysis, visualization, and data processing (ETL, SQL/NoSQL)
  • Proficient in Python for data cleaning and manipulation

Responsibilities

  • Leverage EO or SAR imagery for geospatial intelligence
  • Conduct quantitative analysis to inform decision-making
  • Create visualizations that enhance data interpretation
  • Develop software to maintain and monitor data pipeline operations
  • Utilize overhead imagery experience to address complex data challenges

Benefits

  • Health, Dental, and Vision insurance
  • 401(k) plan
  • Paid Time Off
  • Short-Term and Long-Term Disability Insurance
  • Life Insurance and Voluntary Life Insurance
  • Stipends and Referral Bonuses
Full Job Description
Overview

Senior Data Scientist

Springfield, VA or St. Louis, MO

Active TS/SCI

Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Senior Data Scientist in Springfield, VA or St. Louis, MO

Responsibilities

You know EO or SAR imagery. You have worked with the data, understand the quirks of the collection, and can write Python that does something useful with it. This role puts that experience to work on a geospatial intelligence program where the data complexity is real and the mission impact is direct. You will perform quantitative analysis, build visualizations that support decisions, and develop software to keep data pipeline operations running and visible. Prior experience with overhead imagery is required.

Qualifications

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

Desired Qualifications:
  • Experience applying NLP to extract data from documents
  • Solid math and statistics background including classification, regression, clustering, and causal modeling
  • Exposure to IC analytic modernization work such as Computer Vision, automated collection, or automated reporting


What you can expect from us

  • The expected salary range within the Washington, DC metropolitan area is: $150,000-$175,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

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