Data Scientist
Department of Energy Headquarters
What You'd Actually Do
This position is part of the Office of the Chief Human Capital Officer - Power Marketing Administration HR Shared Service Center, Department of Energy. As a Data Scientist, you will drive strategic workforce solutions by developing advanced analytical models and providing data-driven counsel to management on Human Resource optimization and planning. **This is not a remote position. The selectee will be required to be physically present at one of the duty location(s) identified.**
Key Duties
- As a Data Scientist, you will: Lead the strategic vision and execution for HR analytical tool development and deployment.
- Design and implement advanced workforce predictive and analytical tools.
- Develop scalable automated reporting pipelines, high-fidelity dashboards, and custom platforms that inform strategic recommendations for complex workforce challenges.
- Conduct comprehensive studies in workforce planning, position management, and strategy development, leveraging advanced predictive, prescriptive, and diagnostic analytics to uncover insights, forecast trends, and simulate policy impacts.
- Provide expert technical assistance and guidance on advanced data analysis, statistical techniques, experimental design, and effective utilization of new data science tools.
- Lead engagements with various personnel across DOE, Human Capital, and the PMAs to identify advanced analytical techniques and methods for workforce planning and strategy.
Qualifications
- To be found qualified, you must meet the basic requirement AND minimum qualification requirements for the grade level(s) in which you apply.
- BASIC REQUIREMENT: You must meet one of the following: Degree: Mathematics, statistics, computer science, data science or 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 (30 semester hours) as shown in paragraph A above, plus additional education or appropriate 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 in the Federal service.
- Specialized experience for this position is defined as: For the GS-12: Your resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-11) in the Federal service (obtained in either the public or private sectors).
- Specialized experience is defined as (Must meet 3 of 4 Statements): Analyzing structured HR or organizational datasets using basic statistical or computational techniques to identify trends, patterns, or issues supporting workforce decisions.
- Cleaning, transforming, and preparing datasets for analysis, dashboards, or model development using analytical software or programming tools such as Python, R, SQL, or similar platforms.
- Developing written summaries, data visualizations, or analytical reports that communicate findings clearly to HR specialists, supervisors, or other internal stakeholders.
- Using analytical tools or scripts to automate standard reporting processes or support the development of basic analytical products.
- For the GS-13: Your resume must demonstrate at least one year of specialized experience equivalent to the next lower grade level (GS-12) in the Federal service (obtained in either the public or private sectors).
- Specialized experience is defined as (Must meet 3 of 5 Statements): Designing, developing, and validating advanced analytical models such as predictive, prescriptive, or causal models to address complex workforce or organizational challenges.
- Leading the development, automation, and deployment of analytical tools, dashboards, or data pipelines that integrate large, complex, or multi-source HR datasets to support strategic decision-making.
- Conducting comprehensive workforce studies or program evaluations using advanced statistical, computational, or experimental design methods to measure program effectiveness or forecast future workforce needs.
- Preparing and delivering executive-level briefings, scientific analyses, or technical documentation that explain methods, model performance, or strategic implications to senior leaders and cross-agency stakeholders.
- Providing expert guidance on topics such as data governance, ethical modeling, data privacy, or analytical best practices to ensure compliance with federal HR policies and regulatory requirements.
- "Experience" refers to paid and unpaid experience.
- Examples of qualifying unpaid experience may include: volunteer work done through National Service programs (such as Peace Corps and AmeriCorps); as well as work for other community-based philanthropic and social organizations.
- 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.
- Limit your resume to no more than two (2) pages.
- If more than two pages are submitted, only the first two pages will be reviewed to determine your eligibility and qualifications.
Benefits
A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Learn more about federal benefits.
Full federal benefits guide →AI Application Assistant
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