Human Capital Data Scientist

United States Air Force

$90K — $118K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data science or a related field
  • Proficiency in Python and data modeling techniques
  • Experience with AI and machine learning applications
  • Ability to analyze complex datasets and visualize insights
  • Must be U.S. citizen and able to obtain security clearance
  • Strong knowledge of statistical analysis and mathematical modeling

Responsibilities

  • Analyze diverse datasets to inform human capital initiatives
  • Develop practical software solutions to solve complex workforce problems
  • Translate technical data concepts into actionable insights for stakeholders
  • Utilize advanced data visualization tools to present findings
  • Identify and track workforce trends through big data methodologies
  • Ensure data accuracy and compliance with regulations

Benefits

  • 11 Federal Holidays annually
  • 13 sick leave days earned each year
  • 13-26 vacation days per year based on length of service
  • Immediate eligibility for health insurance for you and your family
  • Coverage under Federal Employees Retirement System (FERS)
  • Participation in Thrift Savings Plan with agency contributions
Full Job Description
The Air Force Civilian Service (AFCS) is looking for a Human Capital Data Scientist (GS-1560-12) to work at the Air Force Headquarters (AFHQ), Air Force Manpower Analysis Agency (AFMAA), Business Analytics (MMSD), Joint Base San Antonio - Randolph AFB, TX.

SALARY RANGE: $90,823 - $118,072

Are you ready to turn complex data into mission-critical software? Are you a leader ready to bridge the gap between advanced data science and application development?

Impact you will make:

Data Mastery: Harness data science principles to analyze diverse datasets.

Software Solutions: Build functional, real-world applications from scratch to solve complex problems.

Strategic Lead: Translate technical concepts into clear, actionable briefings for key stakeholders.

Apply today to drive data-driven change!

AFCS BENEFITS:

Paid Time Off:

11 Federal Holidays each year

13 sick leave days earned per year (accumulative)

Paid Vacation Time:

13-26 days per year based on length of employment

Health Insurance:

No waiting period to qualify for you and your family

Retirement:

Immediate coverage by the Federal Employees Retirement System (FERS)

Basic Benefits Plan

Social Security:

Thrift Savings Plan (TSP), such as; 401(k) (Automatically receive 1% agency contributions and up to 5% matching)

This position can close at any time.

Apply Now! RESUME is MAX 2 pages.

Qualifications/Requirements:

The incumbent will serve as a data scientist enabling human capital planning through the collection, analysis, and visualization of structured and unstructured manpower and personnel data. Utilizes the application of mathematics, statistical analysis, modeling/simulation, machine learning, Artificial Intelligence (AI) and/or scientific methods by leveraging big data principles and advanced data science techniques to identify trends and activity indicators undetectable by traditional methods. These insights inform human capital initiatives to acquire, develop, and sustain the workforce.

SKILLS DESIRED: Knowledge of Math, Statistics, Computer Science, Engineering, Data Science, Ops Research, Python, Coding, Modeling, Simulation, Data Engineering, Software Development and Solutions.

RECRUITMENT KNOWLEDGES, SKILLS, AND ABILITIES (KSA) AND ADDITIONAL POSITION REQUIREMENTS:

U.S. Citizenship is required.

Must be able to obtain and maintain a Security clearance.

Education requirements: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/

Knowledge of a broad range of mathematics, statistical analysis, and/or other data science principles, techniques and tools to include data-driven algorithms, qualitative and quantitative statistical methods, data analytics, data modeling and simulation, data visualization, IT systems, and emerging technologies to include artificial intelligence and machine learning.

Skill in applying analytical and evaluation techniques to identify, investigate, resolve complex issues or problems, and modify standard practices and techniques to solve complex interrelated problems.

Skill to perform data collection and analytic techniques in support of command requirements.

Skill and ability to foresee the impact of changing technology.

Ability to visualize data using systems such as advanced Excel pivot tables/charts, Power BI Dashboards, Tableau dashboards, Envision, and Databricks data connections/data cleaning/scripting.

You will be evaluated for this job based on how well you meet the qualifications above.

Your application package (resume, supporting documents) will be used to determine your eligibility, and qualifications.

Click the apply button to complete an application and upload your two-page resume to comply with the Merit Hiring Plan (PDF or Word Doc) and/or additional supporting documents (Transcripts, certifications, Vet Docs (DD214), SF-50). As of 27 September 2025, Federal agencies will only accept resumes up to two pages in length. To learn more about the new resume requirements visit https://afciviliancareers.com/resumetips/ OR https://www.opm.gov/policy-data-oversight/hiring-information/merit-hiring-plan-resources/agency-guidance-on-the-two-page-limit-on-resume-length/

To receive additional information about current and future job openings with AFCS via email notification, please subscribe at www.Afciviliancareers.com and sign up to "Get Career Updates."

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

U.S. citizenship required. Must be of legal work age.

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