Mid-level Data Scientist with Palantir Foundry / Active Secret
Peraton · Scott AFB, IL, US
About this role
## Responsibilities - Enhance, develop, and maintain a sustainable data strategy, management, and analytics program for the United States Transportation Command’s Human Capital Strategy & Analytics Branch (TCJ1-RD). - Transform data into actionable information to support strategic human capital management. - Improve labor market analysis for civilian recruitment. - Enhance professional development and skill alignment. - Develop initiatives focused on retaining top talent. - Deliver data-driven decisional products for active-duty, Guard and Reserve military members, and civilian employees. - Design and implement business intelligence dashboards using advanced data science algorithms (predictive analysis, machine learning, AI, and other methods). - Develop and maintain a robust data foundation to ensure on-demand, analysis-ready human capital data. - Analyze data to identify trends and relationships. - Map and analyze data across secure and non-classified defense networks. - Continuously improve existing tools to make them faster, more effective, accurate, and efficient. - Ensure effective communication and collaboration among users, subject matter experts, and leadership. - Provide insight and expertise to support the lifecycle management of data science tools. - Maintain up-to-date knowledge of technology trends. ## Qualifications - Bachelor’s degree and **5+ years** of relevant experience, **or** Master’s and **3+ years**, **or** PhD. - Experience with **Palantir Foundry**. - Experience creating dashboards and business intelligence and/or data science tools. - Demonstrated collaborative, team-oriented mindset. - Excellent oral and written communication skills. - **U.S. citizenship required**. - **Active DoD Secret security clearance**. ## Location - **Scott AFB, Illinois** ## Salary Range - **$80,000 – $128,000** (typical range; final offer depends on factors such as experience, education, location, and contract considerations).
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