Supervisory Data Scientist.

Company: Bonneville Power Administration

Location: Portland, OR (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-10-31

About this role

Duties


About The Position - Portland
This position is located in Portland, OR which boasts huge spans of amazing trees, foliage, landscape, and everywhere you look you can appreciate beautiful greenery! It is known as the most bike-friendly city in America, has a train system that greets you at the airport spanning across the city, and is home to the Portland International Rose Garden, the oldest in the country! Portland is the one place where you will find lively festivals, energetic music, mouthwatering food, and for you basketball fans, the Portland Trail Blazers are a 7 minute walk from the HQs building! There is always something new to experience in this eco-friendly town!


As a Supervisory Data Scientist, You Will

  • 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 overall Bonneville mission.
  • Act as the overall program authority and expert consultant for the design, integration, evaluation, and governance of BPA's highly technical data analytics program, strategy, and data life cycle end-to-end.
  • Oversee and direct a team of 5-8 professional and administrative Federal employees (GS-13/14), which includes assigning work, evaluating performance, hiring, and addressing training or developmental needs.
  • Allocate, manage, and account for organizational resources, including staff and funding, while establishing work plans, determining the use of contractors, and resolving budget shortages.
  • Align data analytics efforts with executives across BPA, other federal partners, and external workgroups to promote the adoption of modern data policies, practices, and technologies.
  • Provide technical direction and leadership on the maintenance of the enterprise analytic platform and oversee complex data science analyses using advanced methodologies (e.g., machine learning, NLP, regression, and data visualization) to automate process...

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