Senior Manager, Data Science

4 days ago


Oakland, California, United States Pacific Gas and Electric Company Full time
Job Summary

We are seeking an experienced Senior Manager, Data Scientist to lead the AI & Data Science Center of Excellence for Pacific Gas and Electric Company.

Key Responsibilities
  • Develop and implement governance tools, policies, and standards for the effective and safe development of machine learning and AI as a product.
  • Lead the design, implementation, and continuous improvement of governance tools for the effective and safe development of machine learning and AI as a product.
  • Support data science, AI, and analytics teams across the company by disseminating and supporting the implementation of best practices for machine learning and AI development.
  • Act as advisor to the People's Organization (HRBP & Compensation) in the analysis of data science competencies and continuously monitor the evolution of the industry.
  • Participate in the internal and external data science community of practice, leading the development of knowledge that advances the field.
  • Advise delivery teams in the optimal implementation of advanced technologies as proof of concept, balancing risk and innovation to accomplish business goals.
  • Support the identification and implementation of process improvement at the department level.
  • Support building data science capability both within the Hub and, mainly, Spokes across the enterprise to contribute to improved decision-making in all Functional areas.
Requirements
  • Bachelor's degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field.
  • 2 years hands-on experience in data science (or no experience, if possesses Advanced Degree, as described above).
  • 4 years of leadership experience in data science.
  • Desired: 5 years Utility industry experience.
  • Advanced degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field.
Competencies
  • Demonstrated track record and understanding of data science and machine learning algorithms (supervised, unsupervised), ML domains (computer vision, NLP, etc.).
  • Demonstrated track record in the following: statistics, artificial intelligence, software engineering, and domain expertise.
  • Ability to clearly and concisely communicate and present complex analysis to both quantitative and non-quantitative audiences.
  • Competency in planning and prioritizing work to meet commitments aligned with organizational goals.


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