Expert Data Scientist

1h1 hour ago

GeoYeti

Augusta, US · Full-time · $170,000 – $220,000

About this role

GeoYeti accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Join our growing team supporting customer missions as an Expert Data Scientist in Augusta, GA.

Lean into analytic approaches that demonstrate the power of technical and methodological innovation to customers. Apply data science techniques—regression, NLP, clustering, neural networks, deep learning, image recognition—to geospatial problems. Develop algorithms supporting GEOINT mission outcomes and build workflows to surface unique insights.

Integrate geographic and geospatial scientific principles into model design and analysis. Deliver new analytic capability using agile frameworks like Scrum, Kanban, and Lean. Collaborate in iterative, team-based environments with expertise and agility.

Produce written reports, graphics, and briefings for technical and senior audiences. Succeed through collaboration in mission-critical settings. Contribute to actionable intelligence and strategic decision support for intelligence professionals.

Requirements

Active TS/SCI clearance
MA/MS from an accredited institution in a STEM-related discipline + 5 years relevant experience, OR BA/BS in a STEM-related discipline + 10 years relevant experience
Demonstrated mastery of geographic and geospatial scientific principles, tools, and analytical techniques across most prior experience
Proficiency in data science techniques: logistic regression, vector analysis, NLP, PCA, clustering, neural networks, deep learning, image recognition, and algorithm development
Proficiency in tabular analysis, SQL, and scripting languages (Python, R, Julia, or equivalent)
Familiarity with agile project management frameworks (Scrum, Kanban, Lean)
Ability to deliver new analytic capability in iterative, team-based environments
Strong written and verbal communication for technical and non-technical audiences

Responsibilities

Apply data science techniques—regression, NLP, clustering, neural networks, deep learning, image recognition—to geospatial problems
Develop and employ algorithms supporting GEOINT mission outcomes
Build tabular, SQL, and scripted analytic workflows (Python, R, Julia) to surface unique insights
Integrate geographic and geospatial scientific principles into model design and analysis
Deliver new analytic capability using agile frameworks (Scrum, Kanban, Lean)
Produce written reports, graphics, and briefings for technical and senior audiences

Benefits

Proud to be an equal opportunity workplace
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law