Data Scientist

This range is provided by Finezi Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$90.00/hr - $115.00/hr

Direct message the job poster from Finezi Inc.

US Talent Acquisition Lead | Business Analyst | AWS | Dev Ops Expert

Data Scientist – Electric Operations Excellence

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Location: San Ramon, CA (Hybrid – Local candidates only)

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Equipment: PG&E laptop and docking station provided (local pickup required)

About the Role

PG&E is seeking an experienced Data Scientist to join the Electric Operations Excellence team. This role focuses on translating complex business problems into advanced analytics and machine learning solutions that drive operational efficiency and strategic decision-making.

You will work closely with product owners, technical leads, and business stakeholders to build, deploy, and communicate high-impact data science solutions across Electric Operations.

Key Responsibilities

• Lead development and execution of high-complexity data science and machine learning models
• Translate business needs into well-defined analytical and modeling problems
• Select appropriate algorithms, training datasets, and evaluation techniques
• Build, train, validate, and deploy models for real-world operational use
• Communicate insights, model results, and implications clearly to business and executive stakeholders
• Balance analytics value, modeling approaches, and technology choices with a bias toward action
• Mentor junior data scientists and collaborate within cross-functional Scrum teams
• Develop forecasting, capacity, demand, and expenditure models
• Assess business and operational impacts of modeling assumptions and methodologies
• Partner with business leaders to drive performance and data-driven decision-making
• Create process documentation, business objects, and analytics workflows
• Manage multiple complex projects with clear schedules and delivery milestones

Top

Skills & Qualifications

• Hands-on experience building and deploying ML models
• Strong understanding of feature engineering, model evaluation, and optimization
• Experience with forecasting, Bayesian methods, and graph analytics

Mathematics & Statistics

• Strong foundation in probability, statistics, linear algebra, and statistical inference

Programming & Tools

• Proficiency in Python, R, SQL (Scala a plus)
• Experience with Pandas, Scikit-learn, Spark
  , or similar frameworks
• Experience with Jupyter, Zeppelin
  , or other data science notebooks
• Cloud experience with AWS and/or Azure
• Strong understanding of data modeling, data warehousing, and analytics workflows

Communication & Presentation

• Ability to present complex insights clearly through dashboards, graphics, and executive-level presentations
• Strong stakeholder engagement and storytelling skills

Domain Knowledge (Preferred)

• Utility or energy industry experience
• Familiarity with Palantir Foundry
• Experience working in Agile/Scrum teams
• Understanding of project and program management principles

Education & Experience

• Bachelor’s degree in Statistics, Mathematics, Engineering, Economics, Applied Sciences, or related field
• PLUS 8+ years of relevant experience
• OR
• Master’s degree with 6+ years of experience
• OR
• PhD with 3+ years of experience
• Minimum 5 years of data modeling experience

Why Join PG&E

• Work on mission-critical analytics impacting electric operations
• Collaborate with highly skilled data science and engineering teams
• Apply advanced analytics at scale in a real-world utility environment
• Hybrid flexibility with meaningful in-person collaboration

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Information Technology

Industries

Electric Power Transmission, Control, and Distribution, Utilities, and Electric Power Generation

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