Data Scientist (Staffing Analytics)

Summary This position is part of the Deputy Administrator for Naval Reactors, Department of Energy. National Nuclear Security Administration Demonstration Project: This position is covered by the National Nuclear Security Administration (NNSA) Demonstration Project. The NQ-03 pay band is equivalent to the GS-13/14 grade levels. For more information on the NNSA Demonstration Project and Pay Band/Salary Tables, review Responsibilities As a Data Scientist (Data Analytics), NQ-1560-03, you will: Lead advanced analytical and data-science efforts in support of Naval Reactors' Total Force manpower and workforce strategy, including development of models and analyses to assess and forecast workforce dynamics such as hiring pipelines, retention, attrition, internal mobility, and future workforce composition. Design, execute, validate, and defend complex analytical models, tools, and studies that inform long-range personnel and manpower policies, with emphasis on optimizing engineering talent utilization and strengthening talent-retention strategies. Identify and implement opportunities to enhance data integration, process efficiency, automation, and system usability within the organization; lead continuous-improvement initiatives involving automated dashboards, templates, and data pipelines to improve the accuracy, timeliness, and accessibility of data products. Provide senior-level analytical support to Non-Primes Budget planning and execution by delivering data-driven insight on obligations, execution performance, risks, and forecasted resource requirements. Facilitate cross-division collaboration to expand modern analytics capabilities across Naval Reactor Headquarters by delivering training, consultation, and facilitation that build organizational data literacy and support adoption of self-service analytic tools and practices. Perform other related analytical duties as assigned, including special studies, rapid-response data calls, and support to broader Naval Reactors and Department of Energy/Department of Navy initiatives requiring advanced analytical or data science expertise. The incumbent also serves in support of Department of Navy duties as assigned. Requirements Conditions of Employment Qualifications In addition to demonstrating the basic requirement listed in the education section of this announcement, applicants must also demonstrate possession of specialized experience. SPECIALIZED EXPERIENCE REQUIREMENTS: A qualified candidate's online application and resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level, NQ-02 (GS-12), in the Federal service. Specialized experience for this position is defined as meeting the following: Applying advanced data analytics and predictive modeling to understand, assess, and forecast workforce trends that inform strategic manpower planning and policy decisions; Providing senior-level decision support for manpower and administrative functions by delivering data-driven insights, analyses, and recommendations that guide organizational resource decisions; and Leading data-driven initiatives to improve the quality, integration, accessibility, and usability of workforce and manpower data across the organization, enhancing analytic capability and decision-making effectiveness. Please ensure that your resume does not exceed two (2) pages in length. If you submit more than two pages, only the first two will be reviewed to determine your eligibility and qualifications. Your full resume will be shared with the hiring manager if you are referred. You can find the qualification standards for the announced position on the Office of Personnel Management website. Professional and Scientific Positions: National Service Experience (i.e., volunteer experience): Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Please ensure EACH work history includes ALL of the following information: Job Title (include series and grade if Federal Job) Duties (be specific in describing your duties, we cannot make assumptions regarding your experience) Employer's name and address Supervisor name and phone number Start and end dates including month, and year (e.g. June 2007 to April 2008) Start and end dates for each grade/pay level if you've held a federal position. Full-time or part-time status (include hours worked per week) You must meet all qualifications requirements by the closing date of this announcement. Education Applicants must meet the Basic Requirement for the Data Science Series, 1560: Degree: Mathematics, statistics, computer science, data science, or a field directly related to the position. The degree must be in a major field of study, at least at the baccalaureate level, that is appropriate for the position; or Combination of education and experience: Courses equivalent to a major field of study, or 30 semester hours, in mathematics, statistics, computer science, data science, or a field directly related to the position, plus additional education or appropriate experience. Positions with an education requirement, or if you are qualifying for a position by substituting education or training for experience, you MUST submit a copy of your transcripts or equivalent. Unofficial transcripts will be accepted that includes your name, the name of the educational institution, course title(s), number of credits, grade, and date of completion. An official transcript will be required if you are selected. Education must be from an accredited institution recognized by the U.S. Department of Education in order for it to be credited towards qualifications. Therefore, provide only the attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education. Foreign Education: Education completed in foreign colleges or universities may be used to meet the qualification requirements. You must show the education credentials have been evaluated by a private U.S. organization that specializes in interpretation of foreign educational credentials and such education has been deemed equivalent to that gained in an accredited U.S. education program. It is your responsibility to provide such evidence with your application. See Recognition of Foreign Qualifications for more information. If this vacancy specifies particular educational requirements, please provide documentation to verify your educational claims. This can include unofficial transcripts or any report that lists the institution, courses titles, credit earned, and final grades. For additional information, please see How to fill out your education. Additional Information This job opportunity announcement may be used to fill additional similar vacancies across DOE. As needed, additional positions may be filled using this announcement. In accordance with Executive Order 14170, applicants are encouraged to respond to the four short, free-response, essay questions in the questionnaire. Answers to these questions are not scored or rated. Your answers will be reviewed by the hiring manager and agency leadership if you are referred for selection consideration. If you believe that you are eligible for the Interagency Career Transition Assistance Program (ICTAP), please visit the OPM ICTAP/CTAP website for more information. In order to be considered under the ICTAP program, your application must score within the pre-established "well qualified" category. Employees or applicants may request Reasonable Accommodation (RA) for assistance, when applying or competing for a job or performing a job due to their medical condition or to exercise their religious beliefs. If you need reasonable accommodation in the application or selection process, please contact the Staffing Specialist listed on this vacancy announcement. The Fair Chance Act prohibits specific inquiries concerning an applicant's criminal or credit background unless the hiring agency has made a conditional offer of employment to the applicant. An applicant may submit a complaint to the agency within 30 calendar days of the date of alleged noncompliance by completing the Fair Chance Act Intake Form and submitting it to the Administrative Investigations Program at View email address on click.appcast.io. Current or Former Political Appointees: The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office. EEO Policy: Click HERE. Reasonable Accommodation Policy: Click HERE. Veterans Information: Click HERE. Selective Service Registration: Click HERE.