Data Specialist, ETM/TMS

Summary

Do not email applications. To submit your resume for this Direct Hire opportunity click here. For additional information on other USSF direct hire opportunities visit the Air Force Civilian Careers Space Force website and follow USSF on LinkedIn.

Duties

• The United States Space Force (USSF) at Randolph AFB, San Antonio, Texas is searching for a Data Specialist to support ETM/TMS (NH-1560-03, GS 12/13 equivalent). Description: The Enterprise Talent Management Office (ETM) is seeking a dynamic, forward-thinking Data Scientist (Research, Test, and Development) to serve as our premier data analyst expert. In this vital role, you will be the analytical engine behind our human capital strategies, helping us acquire, develop, and optimize our Guardian talent. Your daily work will involve initiating major organizational studies, designing predictive mathematical models, and evaluating complex policy proposals to ensure our force is structurally optimized and mission-ready. As our subject matter expert, you will bridge the gap between complex datasets and strategic action. You will lead study teams, design advanced data models, and brief senior Space Force leadership on critical human capital initiatives. If you are a proactive problem solver with strong coding and statistical skills, and you want to use your data expertise to directly empower the nation's newest military branch, we want you on our team. Apply today to help us build a data-driven Space Force! Ideal Candidate: The ideal candidate will possess a strong scientific background and a proven track record of applying quantitative methods to solve complex organizational challenges. Background and Experience: - Demonstrated experience independently developing mathematical, statistical, or computer models and simulations. - Experience managing or leading scientific study teams, prioritizing project milestones, and delivering results within tight timelines. - Familiarity with data manipulation, database query languages (e.g., SQL), and statistical computing languages (e.g., Python, R). - Experience applying data analytics to personnel, human capital, workforce planning, or organizational performance is highly desirable.

Qualifications

The 1560 series has an individual occupational requirement that must be met and can be viewed here. In addition to the above requirements, you can view the experience level requirements here. Please scroll down to the 4th section titled Professional and Scientific Positions

How to apply

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