Data Scientist (ts/sci Poly)

Develops, implements, and maintains data pipelines and applies advanced data science techniques, including machine learning, spatial analysis, and time-series modeling, to extract insights for mission-critical operations. Builds, tests, and optimizes AI/ML solutions for integration into user-facing tools. Requires TS/SCI Polygraph clearance and 3+ years of experience in data engineering/analytics and 2+ years with Python and SQL.

What you'd actually do

  1. Develop, implement, and maintain data pipelines to process and analyze large, complex datasets in support of the client mission.
  2. Apply advanced data science techniques—including supervised and unsupervised machine learning, spatial analysis, and time-series modeling—to extract actionable insights for mission-critical operations.
  3. Build, test, and optimize analytic methodologies and AI/ML solutions for integration into user-facing technical tools.
  4. Collaborate directly with client stakeholders and mission operations teams to understand requirements, present findings, and tailor analytic solutions to evolving needs.
  5. Document code, workflows, and analytic processes following best practices to ensure reproducibility, transparency, and knowledge sharing within the team.

Skills

Required

  • Python
  • SQL
  • ETL/ELT workflows
  • data pipelines
  • machine learning
  • spatial analysis
  • time-series modeling
  • dashboards
  • data sources
  • data models
  • TS/SCI Polygraph security clearance

Nice to have

  • Tableau certifications
  • Python certifications
  • Master's degree

What the JD emphasized

  • Active TS/SCI Polygraph security clearance required
  • Respond rapidly to high-priority analytic requests, adapting to shifting mission priorities while maintaining high standards of technical rigor and communication.

Other signals

  • Develop, implement, and maintain data pipelines
  • Apply advanced data science techniques—including supervised and unsupervised machine learning, spatial analysis, and time-series modeling
  • Build, test, and optimize analytic methodologies and AI/ML solutions