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PG&E - Oakland, CA

posted 3 days ago

Full-time - Mid Level
Hybrid - Oakland, CA
Utilities

About the position

We are seeking two (2) experienced data scientists to join PG&E as expert members of the company's Center of Excellence in Data Science & AI. Each technical leadership role has an unparalleled opportunity to influence the success of data science and related AI technical fields (ML and GenAI) across a large, diverse company with an essential societal mission. Each role is perfectly suited for a candidate with deep experience leading technical portfolios focusing on AI/ML/GenAI modeling work, and who would now like to make a contribution to the data science community by supporting teams across the company rather than delivering solutions directly. A desire and aptitude for consulting, mentoring, advising, educating, influencing, and relationship building is strongly needed. This technical leader will be an individual contributor who possesses a drive to keep their skills sharp through continuous education and research as they assist with a wide variety of advanced data science and analytics projects across the company. Study and continuous assessment of emerging technologies will facilitate thought leadership and influence technical roadmaps.

Responsibilities

  • Support data science, AI/ML/GenAI and advanced analytics Spokes across the company by spearheading the implementation of best practices in the development of AI/ML/GenAI and other advanced data science and analytics models.
  • Support the design, implementation, and continuous improvement of governance tools for the effective and safe development of AI/ML/GenAI and data science models as a product.
  • Develop and maintain an emerging technologies evaluation toolkit to assess technology maturity level and its readiness for value realization of business goals.
  • Support vendor and third-party proof of concept proposal and product assessment from a technical perspective.
  • Support the People's Organization in the analysis of data science competencies.
  • Lead the development of knowledge that advances the field and participate in the internal and external data science community of practice.
  • Advise and consult delivery teams in the optimal implementation of advanced technologies.
  • Support building data science capability by advising Hub teams as well as Spokes across the enterprise.
  • Present findings and make recommendations to officers and cross-functional management.
  • Educate the internal community on emerging trends and assess their impact on business programs.
  • Effectively communicate a compelling vision of data science and AI/ML/GenAI technologies.

Requirements

  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
  • 6 years in data science (or no experience, if possess Doctoral Degree or higher).

Nice-to-haves

  • Doctoral Degree or higher in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
  • Relevant industry experience (electric or gas utility, renewable energy, analytics consulting, etc.).

Benefits

  • Discretionary incentive compensation programs.
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