Senior Data Scientist, SSC/S37

Space Systems Command•Los Angeles, CA

1d•Onsite

About The Position

The United States Space Force at Los Angeles Air Force Base, California, is hiring a Senior Data Scientist to support SSC/S37. This term position is not to exceed three years and is classified as NH-1560-03, equivalent to GS-12/13. The Data Scientist – S&E Workforce Development Specialist supports the Space Systems Command Science and Engineering workforce through data science, statistical analysis, modeling, and quantitative methods applied to workforce planning, development, and decision-making. The incumbent independently plans and carries out assignments, develops solutions to complex workforce and organizational problems, interprets study findings, and provides data-driven recommendations to S&E leadership. The employee may also provide technical guidance to junior team members. The position requires U.S. citizenship and the ability to obtain and maintain a Top Secret security clearance. The employee must handle sensitive and/or classified information in accordance with regulations. Occasional irregular duty hours, overtime, or emergency overtime may be required. The position is eligible for situational telework only, including emergency and OPM-prescribed unscheduled telework. Travel by military or commercial aircraft may be required for temporary duty assignments, approximately 15 days per year. PCS and incentives are not authorized. This is a Testing Designated Position under the Air Force Civilian Drug Testing Program.

Requirements

U.S. citizenship.
Ability to obtain and maintain a Top Secret security clearance.
Professional knowledge sufficient to independently perform complex data science, quantitative analysis, workforce analytics, and organizational studies.
Professional knowledge of data science principles, concepts, and practices sufficient to apply scientific methods and techniques to systems, processes, workforce conditions, and organizational problems.
Knowledge of mathematics sufficient to conduct quantitative studies and communicate findings and recommendations in reports and correspondence.
Knowledge of quantitative techniques and methods for developing, adapting, modifying, and applying analytical models.
Ability to analyze, interpret, and apply data science methods and procedures in varied situations and recommend solutions to senior analysts and leadership.
Ability to analyze complex problems, identify significant factors and relationships, gather relevant data, and develop viable solutions.
Ability to plan and organize analytical work and collaborate with coworkers, leadership, functional specialists, and other stakeholders.
Ability to translate complex workforce data into clear, actionable information for senior leadership.
Ability to develop and present technical reports and briefings that explain methods, findings, limitations, conclusions, and recommendations.
Degree in mathematics, statistics, computer science, data science, or a field directly related to the position.
Must handle and safeguard sensitive and/or classified information in accordance with regulations.

Responsibilities

Apply data science principles, statistical methods, mathematical techniques, and quantitative analysis to complex organizational, operational, technical, and workforce problems.
Plan and conduct analytical studies by defining objectives, identifying data requirements, selecting methods, evaluating alternatives, and developing conclusions.
Compile, clean, organize, process, and analyze data from multiple sources.
Develop and apply statistical, mathematical, simulation, or forecasting models.
Use trend analysis, probability, sampling methods, and other analytical approaches to identify relationships and predict future conditions.
Develop appropriate analytical assumptions or methodologies when data are incomplete, inconsistent, or conflicting.
Develop workforce metrics, dashboards, reports, visualizations, models, and other analytical products for leadership decision-making.
Conduct workforce planning and analytics, staffing and skills analyses, retention analyses, succession planning, and other human-capital analytical work.
Evaluate programs, policies, processes, or organizational performance using quantitative and qualitative methods.
Develop data-driven recommendations and present analytical conclusions to leadership and technical stakeholders.
Participate in complex studies, special projects, or research initiatives.
Prepare technical reports, briefings, memoranda, correspondence, and other documentation explaining analytical findings.
Communicate complex analytical concepts and conclusions clearly in oral and written form.
May provide technical guidance to junior team members performing related analytical work.