Senior Data Scientist, Energy

Volkswagen Group

Senior Data Scientist at Electrify America focusing on energy cost analytics for EV charging networks. Developing predictive models and collaborating across teams to optimize charging costs and decision-making.

Posted 7/9/2026full-timeRemote • California, Colorado, New York, Rhode Island, Washington • 🇺🇸 United StatesSenior💰 $127,600 - $204,250 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Develop and maintain the analytical framework used to model energy costs across Electrify America's network of 1,000+ charging sites spanning more than 250 utility territories.
Research, interpret, and maintain utility tariff data, translating complex rate structures into scalable analytical models and operational systems.
Build and enhance models that quantify energy costs at a granular session level, including demand charges, energy charges, and other tariff-based cost drivers.
Develop methodologies and models that incorporate wholesale energy market dynamics, including hourly pricing, critical event pricing, and nodal market signals.
Design predictive models that estimate marginal utility costs and collaborate with energy services and engineering teams to deploy these insights into real-time operational applications.
Partner with pricing, energy services, and network P&L management teams to develop recurring reporting and ad hoc analyses on network economics and profitability.
Quantify and track financial savings generated through tariff optimization, energy market participation, and other cost management initiatives across Electrify America, Electrify Canada, and commercial charging customers.

Requirements

What you’ll need

7+ years of experience in data science, quantitative analytics, energy economics, utility analytics, or related fields.
Deep knowledge of commercial and industrial utility rate structures, including demand charges, time-of-use rates, and rate optimization.
Experience analyzing wholesale electricity markets and hourly energy price signals.
Strong quantitative and analytical skills with demonstrated ability to transform complex datasets into actionable insights.
Advanced proficiency in Python, SQL, and Excel.
Experience building scalable and repeatable analytical models and workflows.
Strong understanding of statistical analysis, forecasting, and econometric techniques.
Proven ability to independently lead projects and drive execution in ambiguous environments.
Exceptional written, verbal, and presentation communication skills.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Remote work options
Professional development opportunities

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills & Tools

Analytical Framework DevelopmentModeling Energy CostsStatistical AnalysisForecasting TechniquesEconometric TechniquesTariff OptimizationWholesale Electricity Market AnalysisDemand Charges AnalysisTime-of-Use RatesBuilding Scalable Analytical Models

Soft Skills

Strong Communication SkillsProject LeadershipProblem-Solving