Supervisory Data Scientist

Bonneville Power Administration • Portland, OR

4d • Onsite

About The Position

This position is in the Data Analytics department (MOG) in the Office of Operational Performance (MO) under the Chief Operating Officer (K) at the Bonneville Power Administration (BPA). The incumbent serves as BPA's Analytics Officer, supervising advanced data analytics, data science, and machine learning. The role manages the enterprise program and team and provides technical and consultative services supporting BPA agency-wide, while aligning with the Bureau, components, and federal partners.

The position is located in Portland, Oregon, and requires reporting in person to the official duty location. The role provides strategic leadership for BPA's data science, machine learning, and advanced analytics program, including oversight of an enterprise analytics platform and the data life cycle. The supervisor leads a team of 5–8 professional and administrative Federal employees at GS-13/14 levels and manages staffing, funding, work plans, and organizational resources.

Applicants must meet the stated education requirement and have at least one year of specialized experience equivalent to the GS-13 level in Federal service. The selectee must complete the Office of Government Ethics Standard Form 450e within 30 days of employment and annually; first-time supervisors must serve a one-year probationary period. The position has a positive education requirement, and applicants must provide college transcripts to be rated qualified.

Requirements

• United States citizenship is required.
• At least one year of specialized experience equivalent to the next lower grade level (GS-13) in Federal service.
• Specialized experience managing an enterprise data science program, including strategic planning, data policy formulation, resource allocation, and coordination with external partners.
• Specialized experience advising executives on governance and deployment of complex data science platforms and analytical infrastructure across the data life cycle.
• Specialized experience directing complex data science and machine learning projects using predictive modeling, natural language processing, and advanced statistics to automate business processes.
• A degree in mathematics, statistics, computer science, data science, or a directly related field, with a major field of study at least at the baccalaureate level; alternatively, 30 semester hours equivalent to such a major plus additional education or appropriate experience.
• Education must be from an accredited institution recognized by the U.S. Department of Education. Foreign education must be reviewed by a recognized organization.
• Applicants must provide copies of college transcripts to be rated qualified.
• Selectee must complete the Office of Government Ethics Standard of Confidential Financial Disclosure Report (OGE Form 450e) within 30 days of employment and annually.
• First-time supervisors must serve a one-year probationary period.
• Males must comply with Selective Service registration requirements.
• The selectee must report in person to the official duty location.

Nice To Haves

• Hiring incentives may be authorized for highly qualified candidates, subject to budget availability and Federal regulations.

Responsibilities

• Serve as the key policy formulator and decision-maker for long- and short-range strategic data science, machine learning, and advanced analytics planning in support of the Bonneville mission.
• Act as the program authority and expert consultant for the design, integration, evaluation, and governance of BPA's data analytics program, strategy, and end-to-end data life cycle.
• Supervise and direct a team of 5–8 professional and administrative Federal employees, including assigning work, evaluating performance, hiring, and addressing training and development needs.
• Allocate, manage, and account for organizational resources, including staff and funding; establish work plans, determine contractor use, and resolve budget shortages.
• Coordinate data analytics efforts with BPA executives, Federal partners, and external workgroups to promote modern data policies, practices, and technologies.
• Provide technical direction and leadership for maintenance of the enterprise analytic platform.
• Oversee complex data science analyses using advanced methods such as machine learning, natural language processing, regression, and data visualization to automate processes and generate data-driven insights.

Benefits

• Comprehensive Federal employee benefits package for employees and their families.
• Programs and policies designed to support work/life balance and flexible, responsive work environments.
• Be Well wellness program supporting career, community, financial, physical, and social well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior