About this role
Job title: Senior Data Scientist, Energy
About the Role Electrify America seeks a Senior Data Scientist, Energy to develop the analytical foundation for managing energy costs across its open DC fast charging network. The role blends utility tariffs, wholesale energy markets, data science, and predictive modeling to drive cost optimization and support real-time decision-making.
What You'll Do
- Develop and maintain the analytical framework 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.
- Translate analytical findings into clear recommendations for business, operational, and strategic decision-making.
- Collaborate across functions to improve data quality, analytical capabilities, and operational performance.
What We're Looking For
- 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.
- Ability to work effectively with incomplete, imperfect, and evolving datasets.
- Proven ability to independently lead projects and drive execution in ambiguous environments.
- Exceptional written, verbal, and presentation communication skills.
- Demonstrated attention to detail, accountability, and integrity.
Nice to Have
- Experience applying machine learning techniques to forecasting or optimization problems, including time-series forecasting methods.
- Experience deploying analytical models into production environments using cloud platforms.
- Familiarity with EV charging, transportation electrification, energy infrastructure, utility operations, or broader energy transition sectors.
Compensation & Benefits
- Salary ranges vary by location: CA 127,600–204,250; CO 117,000–187,200; WA 127,600–204,250; NYC 152,100–243,300; Westchester County 127,600–204,250; Rhode Island 106,400–170,150.
- Fully remote position.
- Electrify America is an Equal Opportunity Employer.