Data Scientist - Rate Design & Regulatory Analytics

Pacific Gas and Electric Company; Oakland (CA); Hybrid; USD 102,000 - 162,000; Full time

Job summary

Pacific Gas and Electric Company in Oakland is seeking a Data Scientist to support cost-of-service analyses for electric and gas rate design proposals in regulatory proceedings. You will design, develop, and deploy machine learning models, using diverse data sources, and explain results to non-technical stakeholders in a cross-functional team.

The role blends data science with economics and finance concepts, requiring strong programming, statistics, and communication skills.

Qualifications

• Bachelor’s degree in a data-related field or equivalent.
• At least 2 years in data science, or with a Master’s degree, equivalent.
• Experience with data modeling, statistics and programming.
• Knowledge of finance/economics used in rate design is a plus.

Responsibilities

• Research data science principles to inform revenue allocation and rate design decisions.
• Create data mining architectures, models, and protocols to identify trends.
• ETL data from disparate sources for ML feature engineering.
• Apply ML/AI methods to develop defensible predictive/optimization models.
• Develop mathematical models and AI simulations for business problems.
• Write Python code for data science tasks and model deployment.
• Lead development of simple models and present findings to business teams.
• Review peers' models and ensure quality control of results.
• Document models/procedures and communicate insights to influence decisions.
• Collaborate across PG&E and respond to time-sensitive analytics requests.

Skills

Python

ML

Statistics

Data wrangling

Data visualization

Education

Bachelor’s Degree in Data Science, ML, CS, Physics, Econometrics or Economics, Engineering, Math, Stats or equivalent

2 years in data science (or entry if Master’s)

Tools

SQL

scikit-learn

Pandas

NumPy

Python libraries

Job description

Pacific Gas and Electric Company in Oakland is seeking a Data Scientist to support cost-of-service analyses for electric and gas rate design proposals in regulatory proceedings. You will design, develop, and deploy machine learning models, using diverse data sources, and explain results to non-technical stakeholders in a cross-functional team.

The role blends data science with economics and finance concepts, requiring strong programming, statistics, and communication skills.