Strategic Data Scientist: AI & HR Analytics for Impact

Air Force Civilian Service; Arlington (VA); In loco; USD 144.000 - 187.000; Tempo pieno

Vantaggi offerti da questo lavoro

Relocation expenses paid

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data Science

Machine Learning

Data Visualization

Statistical Analysis

Operations Research

Formazione

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

Education + Experience (30 sem hrs) combination

Strumenti

AR/HR Analytics Tools

Descrizione del lavoro

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.