Senior Data Scientist, SSC/S37
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Major duties
The United States Space Force (USSF) at Los Angeles Air Force Base, CA is searching for a Senior Data Scientist to support SSC/S37 (NH-1560-03, GS 12/13 equivalent). Description: - The Data Scientist - S&E Workforce Development Specialist supports the Space Systems Command Science and Engineering workforce by applying data science, statistical analysis, modeling, and quantitative methods to workforce planning, development, and decision-making. - The incumbent independently plans and carries out assignments, develops solutions to highly complex workforce and organizational problems, analyzes and interprets study findings, and provides data-driven recommendations to S&E leadership. The employee may also provide technical guidance to junior team members performing related analytical work. Qualifications: -To qualify for this NH-1560-03 Data Scientist position, applicants must possess experience and professional knowledge sufficient to independently perform complex data science, quantitative analysis, workforce analytics, and organizational studies. Qualifying experience may include: - Applying data science principles, statistical methods, mathematical techniques, and quantitative analysis to complex organizational, operational, technical, or workforce problems. - Planning and conducting analytical studies, including defining objectives, identifying data requirements, selecting appropriate methods, evaluating alternatives, and developing conclusions. - Compiling, cleaning, organizing, processing, and analyzing data from multiple sources. - Developing and applying statistical, mathematical, simulation, or forecasting models. - Using trend analysis, probability, sampling methods, quantitative techniques, or other analytical methods to identify relationships and predict future conditions. - Working with incomplete, inconsistent, or conflicting data and developing appropriate analytical assumptions or methodologies. - Developing workforce metrics, dashboards, reports, visualizations, models, or other analytical products for leadership decision-making. - Performing workforce planning, workforce analytics, staffing analysis, skills analysis, retention analysis, succession planning, or other human-capital related analytical work. - Evaluating programs, policies, processes, or organizational performance using quantitative and qualitative methods. - Developing recommendations based on analytical findings and presenting conclusions to leadership or technical stakeholders. - Participating in complex studies, special projects, or research initiatives. - Preparing technical reports, briefings, memoranda, correspondence, and other documentation explaining analytical findings. - Communicating complex analytical concepts and conclusions clearly, both orally and in writing. Knowledge, Skills, and Abilities The successful candidate should possess: - Professional knowledge of a wide range of principles, concepts, and practices of data science sufficient to apply scientific methods and techniques to analyze systems, processes, workforce conditions, and organizational problems. - Knowledge of mathematics sufficient to conduct quantitative studies and prepare reports, documentation, and correspondence communicating analytical findings and recommendations. - Knowledge of quantitative techniques and methods used to develop, adapt, modify, and apply analytical models to resolve problems and clarify alternative solutions. - Ability to analyze, interpret, and apply data science methods and procedures in a variety of 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 effectively with co-workers, 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 clearly explain methods, findings, limitations, conclusions, and recommendations.
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