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Senior Data Scientist, SSC/S37

United States Space ForceResearch
Pay
$104K–$161K
per year
Work mode
Hybrid
Full Time
Education
Bachelor's

Los Angeles, California, CA at a glance

Rent
#2 of 51
$1,510/mo+46% vs US avg
Weather
#17 of 51
154 mild days71 hot · 12 cold
Income tax
#1 of 51
13.3% top rateCalifornia

What you need

  • Experience in data science, statistical analysis, workforce analytics
  • Ability to independently perform complex data science and quantitative analysis
  • Knowledge of statistical methods, mathematical techniques, quantitative analysis
  • Experience with workforce planning, analytics, staffing analysis, skills analysis
  • Ability to develop workforce metrics, dashboards, visualizations for leadership

What you'll do

  • Apply data science, statistical analysis, modeling to workforce planning
  • Independently plan and carry out analytical assignments
  • Develop solutions to complex workforce and organizational problems
  • Analyze and interpret study findings, provide data-driven recommendations
  • Develop workforce metrics, dashboards, reports, visualizations

Do not email applications. To submit your resume for this Direct Hire opportunity click here. For additional information on other USSF direct hire opportunities visit the Air Force Civilian Careers Space Force website and follow USSF on LinkedIn.

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). *This is a term position not to exceed 3 years* 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

Promotion Potential

NH-None

How You Will Be Evaluated

Knowledge, Skills and Abilities (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies as related to the series and grade of the position being filled. Final qualifications determinations will be assessed based on OPM's General Schedule Qualifications Standards found here: Interviews: You will be contacted by e-mail and/or telephone if your application is identified as qualifying for a position being filled. An interview may be conducted. If interviewed, you will be asked to address the same knowledge, skills, abilities and/or competencies used to initially qualify your application for the position.

Benefits

View benefits details ↗

Who Can Apply

  • Open to the public

Required Documents

Resume: You must submit a resume that may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume exceeds two pages or is illegible/unreadable. Do NOT include photographs, inappropriate material, inappropriate content, nor personal information such as age, gender, religion, social security number, etc., on your resume. If the resume you submit contains such information you will not be considered for this vacancy. Your resume must provide: Personal information - your full name, email and mailing addresses, phone number Education information - the name of the school and the dates you attended Work experience - paid and unpaid work with the following information: Job title Detailed duties and accomplishments Employer's name and address Supervisor's name and phone number Starting and ending dates (If actual dates are not known, provide your best-estimated timeframes.) Hours per week Salary, if applicable Other qualifications - skills, certifications/licenses, honors, awards, special accomplishments, and job-related training courses College Transcripts (if applicable): Please see the Education section of this announcement for detailed information about transcripts.

How to Apply

Do not email applications. To submit your resume for this Direct Hire opportunity click here. PLEASE NOTE: It is the applicant's responsibility to verify that information entered and/or uploaded, (i.e., resume) is received, accurate, and submitted by the closing date. You may verify your documents have been processed with your application package successfully. You can access your USAJOBS account to do so by clicking here. Uploaded documents may take up to one hour to clear the virus scan.

What to Expect Next

For additional information on other USSF direct hire opportunities visit the Air Force Civilian Careers Space Force website and follow USSF on LinkedIn.

Other Information

Employed Annuitants (Reemployed Annuitants): Applicants in receipt of an annuity based on civilian employment in the Federal Service are subject to the DoD Policy on The Employment of Annuitants. Click here for more information. Disabled veteran leave is available to a Federal employee hired on/after 5 Nov 2016, who is a veteran with a service-connected disability rating of 30% or more. For more information, click here.

About the Agency

IMPORTANT INFORMATION: This Job Opportunity Announcement (JOA) will be used to form a pool of qualified applicants who will be considered for direct hire vacancies as they become available. To learn more about the United States Space Force Mission click here

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About United States Space Force

The United States Space Force (USSF) is the space service branch of the United States Armed Forces, established on December 20, 2019. It is responsible for organizing, training, and equipping forces to protect U.S. interests in space, conduct space operations, and ensure freedom of operation in the space domain.

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Senior Data Scientist, SSC/S37
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