Data Scientist

US Department of Energy Headquarters; Folsom (CA); On-site; USD 90,000 - 154,000; Full time

Job summary

US Department of Energy Headquarters in California is seeking a Data Scientist to apply advanced analytics to workforce planning and HR optimization, translating results into data-driven guidance for management.

You will build analytical models and translate results into data-driven guidance, supporting strategic decisions tied to complex workforce challenges, using Python, R, and SQL in an onsite federal environment.

Qualifications

• Bachelor's degree or equivalent in a quantitative field with alignment to a major field of study (30 semester hours) and applicable experience.
• 1+ years of experience in data science, analytics, or related roles.
• Submit college transcripts as part of the application.
• Education from an accredited institution recognized by the U.S. Department of Education; foreign education reviewed as needed.
• Experience alignment between degree and practical analytics work is required.

Responsibilities

• Lead strategic vision and execution for HR analytical tool development and deployment.
• Design and implement workforce predictive and analytical tools.
• Develop scalable automated reporting pipelines, dashboards, and platforms for strategic recommendations.
• Conduct comprehensive workforce planning studies including position management and strategy development.
• Leverage predictive, prescriptive, and diagnostic analytics to forecast trends and simulate policy impacts.
• Provide expert guidance on data governance, ethics, and analytical best practices for federal compliance.
• Collaborate with DOE stakeholders across Human Capital and PMAs to identify analytical techniques.

Skills

Python

R

SQL

Education

Bachelor's degree in Mathematics, statistics, computer science, data science, or related field

Job description

Within the U.S. Department of Energy’s Office of the Chief Human Capital Officer, this Data Scientist role sits in the Power Marketing Administration HR Shared Service Center and focuses on applying advanced analytics to workforce planning and Human Resource optimization. You will develop analytical models and translate results into data-driven guidance for management, supporting strategic decisions tied to complex workforce challenges.

This position is onsite (not remote) and requires physical presence at a designated duty location. This announcement is a Direct Hire Public Notice, and you are expected to review the full public notice prior to applying.

Role Overview

• Part of the Office of the Chief Human Capital Officer - Power Marketing Administration HR Shared Service Center, Department of Energy.
• Build advanced analytical models and provide data-driven counsel on Human Resource optimization and planning.
• Drive strategic workforce solutions through predictive, prescriptive, and diagnostic analytics.

Key Responsibilities

• Lead the strategic vision and execution for HR analytical tool development and deployment.
• Design and implement workforce predictive and analytical tools.
• Develop scalable automated reporting pipelines, high-fidelity dashboards, and custom platforms that inform strategic recommendations.
• Conduct comprehensive workforce planning studies, including position management and strategy development.
• Leverage advanced predictive, prescriptive, and diagnostic analytics to uncover insights, forecast trends, and simulate policy impacts.
• Provide expert technical assistance on advanced data analysis, statistical techniques, experimental design, and data science tool utilization.
• Engage with personnel across DOE, Human Capital, and the PMAs to identify analytical techniques and methods for workforce planning and strategy.

Required Skills and Technologies

• Python
• R
• SQL

Minimum Qualifications

• 1+ years of experience.
• Education: Bachelor’s degree in Mathematics, statistics, computer science, data science, or related field (or equivalent education/requirements as stated).
• Positive education requirement: submit college transcripts.
• Education must be from an accredited institution recognized by the U.S. Department of Education; foreign education must be reviewed by an organization recognized by the U.S. Department of Education.
• Degree/education-to-experience alignment includes courses equivalent to a major field of study (30 semester hours), plus additional education or appropriate experience.

Specialized Experience (GS-12 / GS-13)

• GS-12: Analyze structured HR or organizational datasets; clean and prepare datasets for analysis/dashboard/model development using tools such as Python, R, SQL; produce written summaries and data visualizations for HR stakeholders; automate standard reporting or support basic analytical products.
• GS-13: Design, develop, and validate advanced analytical models (predictive, prescriptive, or causal); lead development, automation, and deployment of tools, dashboards, or data pipelines integrating large multi-source HR datasets; conduct workforce studies or program evaluations using advanced statistical, computational, or experimental design methods; prepare and deliver executive-level briefings and technical documentation; provide expert guidance on data governance, ethical modeling, data privacy, and analytical best practices to align with federal HR policy and regulatory requirements.

Eligibility and Conditions

• Must be a U.S. Citizen or National.
• This employer participates in the e-Verify program.
• Males born after 12/31/1959 must be registered for Selective Service.
• Suitability for Federal employment is determined by a background investigation.
• May be required to complete a probationary period.

Location, Salary, and Vacancy

• Location(s): Folsom, CA; Lakewood, CO; Billings, MO; Salt Lake City, UT.
• Telework: Telework eligible only for situational telework at management discretion.
• Remote: No.
• Salary: USD 89,508 - 154,280 per year.
• Vacancy: 1 vacancy.

Benefits and Additional Information

• Comprehensive benefits package; details depend on position type and whether full-time, part-time, or intermittent.
• This announcement may be used to fill additional similar vacancies across DOE.
• Recruitment or relocation incentive may be available; an employment agreement is required to be eligible.
• PCS costs are not authorized.
• The selectee may be eligible for creditable service towards annual leave.

How You Will Be Evaluated

• Reviewed based on how well you meet the qualifications listed in the announcement.
• Competencies include: Accountability; Attention to Detail; Customer Service; Decision Making; Flexibility; Integrity/Honesty; Interpersonal Skills; Learning; Reasoning; Self-Management; Stress Tolerance; Teamwork.
• You must meet all qualification and eligibility requirements by the announcement closing date: 10/23/2026.
• Human Resources Offices will review your two-page resume and supporting documentation for minimum qualifications.

Required Documents

• Resume including all relevant work experience with required details (paid and unpaid), including employer information, dates, schedule, salary, and education/training completion details.
• Transcripts (unofficial acceptable as described when indicated by educational requirements).
• Career Transition Assistance Program / Interagency Career Transition Assistance Program documentation, if applicable.
• If relying on education for qualification: provide attendance and/or degrees from schools accredited by accrediting institutions recognized by the U.S. Department of Education.
• Failure to submit required documents may result in loss of consideration due to an incomplete application package.