Develop and maintain data pipelines and risk models that support RAMP/GRC regulatory filings.
Evaluate program effectiveness using statistical and causal-inference methods.
Build and deploy predictive models for injury prediction and safety-related outcomes to support proactive risk mitigation and operational decision making.
Implement model monitoring for data drift, label shift, and model performance to ensure reliability of current and future predictive models.
Partner with safety, operations, and regulatory stakeholders to translate analytical insights into actionable recommendations; clearly communicate findings to technical and non-technical audiences.

Requirements

Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
4 years in data science (or 2 years, if possess Master’s Degree as described above, or no experience, if possess Doctoral Degree or higher, as described above)
Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
Proficiency in SQL and Python, including core libraries (NumPy, SciPy, pandas, scikit-learn, etc.).
Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
Experience with Git-based version control and modern software development workflows.
Experience with natural language processing; exposure to large language models and prompt-engineering concepts a plus.
Experience applying analytics in safety, compliance, or risk-related domains a plus.

Benefits

A reasonable salary range is: Bay Area Minimum:$126,000 Bay Area Maximum: $200,000 OR California Minimum:$120,000 California Maximum: $190,000
This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesrisk modelsstatistical methodscausal-inference methodspredictive modelsmodel monitoringdata driftlabel shiftSQLPython

Soft Skills

communicationcollaborationanalytical insightsactionable recommendations

Certifications

Bachelor’s DegreeMaster’s DegreeDoctoral Degree