ML/AIWork

Senior Exploitation Data Scientist

The 10x School · Baltimore, US

Job description

As a Senior Exploitation Specialist / Data Scientist you will apply advanced data science and geospatial analytics to support multiple DoD Customer Analysis Offices, delivering actionable intelligence products and developing scalable analytic solutions that advance Geospatial enterprise data science mission.

WHAT YOU'LL DO

  • Apply advanced data science, ML, and geospatial analytics to support Analysis Office intelligence requirements
  • Develop and maintain scalable analytic solutions across enterprise data architectures
  • Design and implement machine learning models for GEOINT exploitation workflows
  • Collaborate with analysts to deliver actionable intelligence products with geospatial context
  • Leverage cloud and on-premise platforms for data processing in the classified environment

REQUIRED QUALIFICATIONS

  • Active TS/SCI clearance
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Geography, or related field
  • 10+ years of relevant experience
  • Proficiency in Python, R, or equivalent data science languages
  • Experience with geospatial data processing and analysis
  • Demonstrated ML/AI model development experience

PREFERRED QUALIFICATIONS

  • GEOINT community data science experience
  • Experience with ArcGIS, QGIS, or GEOINT exploitation tools
  • Cloud computing experience (AWS GovCloud, Azure Government)
  • Experience with NGA enterprise systems and data architectures
  • AWS certification(s) or GISP

Pay: $140,000.00 - $180,000.00 per year

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance

Security clearance:

  • Top Secret (Required)

Work Location: In person

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$140,000 – $180,000/yr
The 10x School
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