Senior Data Scientist, SSC/S37.

Space Systems Command is hiring a Senior Data Scientist to support the Space Systems Command Science and Engineering workforce. The role applies data science and quantitative methods to workforce planning, development, and decision-making, and provides data-driven recommendations to S&E leadership.

Responsibilities

• 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

Skills

• 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
• 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
• 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
• Must be a U.S. Citizen
• Must be able to obtain and maintain a Top-Secret security clearance
• Degree: Mathematics, statistics, computer science, data science or field directly related to the position

Benefits

• Situational telework only, including Emergency and OPM prescribed “Unscheduled Telework”.

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