Data Scientist

Air Force Civilian Service; Arlington (VA); Sur place; USD 144 000 - 187 000; Plein temps

Avantages offerts par ce poste

Relocation expenses paid

Résumé du poste

Air Force Civilian Service is seeking a full-time Chief of Analytic Innovation (GS-1560-14) in Arlington, VA, to lead data science efforts across HR data, analysis, and decision support. You will develop methodologies, visualizations, and reports using large datasets to inform senior Air Force leaders on personnel issues and resource allocation.

The role requires AI/ML expertise, cross-organizational collaboration, and the ability to transition legacy data to modern platforms. U.S.

Qualifications

• Degree in Mathematics, statistics, computer science, data science or related field at least at the baccalaureate level.
• Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) plus appropriate experience.

Responsabilités

• Develop and improve methodologies, visualizations, and reports using large HR datasets to influence Air Force leadership decisions.
• Build solutions for HR lifecycle management, quality-of-life concerns, and resource allocation using advanced modeling techniques.
• Transition Air Force data/code to modern, platform-neutral approaches and collaborate with other DoD organizations.

Connaissances

Data Science

Machine Learning

Data Visualization

Statistical Analysis

Operations Research

Formation

Bachelor’s degree in Mathematics/Statistics/CS/Data Science

Education + Experience (30 sem hrs) combination

Outils

AR/HR Analytics Tools

Description du poste

Fuel your future with careers built for global reach, bold missions, and lasting purpose.

The Air Force Civilian Service (AFCS) is looking for a full-time Chief of Analytic Innovation (GS-1560-14), to perform as a Data Scientist working at The Deputy Chief of Staff (DCS) for Manpower, Personnel and Services (AF/A1), Directorate of Plans & Integration (AF/A1X), HR Data, Analysis, & Decision Support Division (A1XD), Pentagon, Arlington, VA.

Depending on the type of position (competitive/excepted) you are selected for, you will be required to serve a 1-year probationary period OR 2-year trial period.

Salary ($143,913 - $187,093) based on experience.

Relocation expenses may be paid.

In this position you will become part of a team developing and improving methodologies, visualizations, and reports using large human resources datasets to influence decisions by the very highest levels of Air Force leadership. You’ll build solutions for a variety of personnel issues, to include full HR lifecycle management, quality-of-life concerns, and resource allocation using advanced modeling techniques.

Your expertise in artificial intelligence/super intelligence/machine learning will help Air Force senior leaders make data-driven decisions to improve support to and management of 600k+ total force enlisted, officer, and civilian Air Force members. You will also help transition the Air Force from legacy data and code formats to modern and platform-neutral approaches.

You'll liaise with other organizations across the Department of the Air Force to develop common sight pictures in the team's analytic approach, and you'll work with stakeholders to improve credentialed access to human resource data across the enterprise.

Must be a U.S. Citizen

Must be able to obtain and maintain a current “Secret Security” clearance.

Must be of legal work age.

AFCS is an Equal Opportunity Employer

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.

Education Requirements

• Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
• Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience Must be able to obtain and maintain a current “Secret Security” clearance.

Highly Desired

• A nationally recognized professional certification in Data Science, Data Analytics, or a directly related sub-field; and professional experience in operations research or computer science
• Knowledge of a broad range of data integration, data management, artificial intelligence (AI), machine learning operations, and research techniques applicable to operations, resourcing, and information processes.
• Knowledge and ability to apply statistical analysis to develop, adapt, modify, and apply data integration and management activities to solve problems or define and clarify alternative solutions for management.
• Skill and ability in leading advanced study teams; originate new ideas, projects, and methodologies and execute projects and/or studies within established financial and/or time constraints.
• Skills necessary to develop and utilize appropriate data modelling, data collection, data engineering, and databasing techniques, as well as skills to design, build / use algorithms, models, and simulation techniques that enable inferential statistics, predictive analytics, and visualization of compiled data.
• Skill in articulating and negotiating very complex and sensitive issues with officials of diverse perspectives and often with different or opposing views. Expert Ability to negotiate and defend findings and gain executive support for new program concepts. You will be evaluated for this job based on how well you meet the qualifications above.