Manager overseeing data science function in Electric System Predictive Analytics team at PG&E. Leading predictive modeling initiatives to enhance risk practices for electric operations.
Responsibilities
Oversees the data science function, using predictive modeling, machine learning (ML), optimization, simulation and artificial intelligence (AI) solutions for enterprise decision-making
Leads the development of expertise and knowledge in data science and technology development of large data sets
Manages data scientist teams
Works with enterprise leaders to identify and solve business problems
Ensures compliance with standards and processes for quality and timeliness of models
Acts as peer reviewer for code scripts and model development
Conducts risk-evaluation studies of model impact on business outcomes
Monitors the development of data science, ML, AI, and similar emerging technologies
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 possess Advanced Degree)
2 years of leadership experience in data science
Advanced degree in Statistics, Mathematics, Applied Science, Data Science, Engineering, Physics, Economics, or equivalent field (Desired)
Utility industry experience, electric or gas, or other job-related (Desired)
3 years Experience with data science and machine learning algorithms (Desired)
Experience with statistics, artificial intelligence, software engineering (Desired)
Ability to clearly and concisely communicate complex analysis to diverse audiences
Ability to apply project management theories, concepts, methods, best practices, and techniques as needed to perform at the job level
Domain expertise in electric, customer, generation, procurement, gas, risk, etc. (Desired)
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