Infrastructure Planning Data Scientist Sr Infrastructure Planning Data Scientist Sr Infrastructure Planning Data Scientist Sr
About The Position
Electrify America is committed to revolutionizing the way people charge. As the country's largest open DC fast charging network, Electrify America is actively contributing to electrifying mobility today and building a more sustainable future. At Electrify America, we value innovation, collaboration, and a commitment to sustainability. We strive to establish a diverse and inclusive workplace where employees can develop personally and professionally. As a team member at this rapidly growing company, you can work on state-of-the-art technology and join a team making a significant impact in the world. If you're interested in joining a dynamic, innovative company, Electrify America is a place where you can learn, grow, and make a difference! Brief Role DescriptionThe Senior Data Scientist will be responsible for conceptualizing, building, deploying, and maintaining predictive models used within Electrify America’s infrastructure planning tools and processes. The successful candidate will draw from a background in statistical research to better understand and forecast evolving EV adoption, driving patterns, and charging habits.Possible Tasks within this RoleMain responsibility – 70% Develop new statistical inference models to improve the Infrastructure Planning team’s existing site selection analysis Benchmark models against internal and industry data Support deployment of models to cloud-infrastructure and help set up a cross-team analysis pipeline pulling from internal and external data sources Additional responsibilities – 30% Work with the Energy Services and Price Performance teams to understand how economic considerations can influence EV driver charging decisions Communicate data findings to internal and external teams
Requirements
- 7+ years of relevant experience
- Undergraduate degree in Economics, Mathematics, Statistics, or related field
- Analytical and conceptual thinking – using logic and reason, creative and strategic
- Exceptional communication skills – interpersonal, presentation and written
- Integration – joining people, processes or systems
- Problem solving – framing complex issues into solvable questions
- Accomplished project management skills
- Navigating uncertainty and ambiguity
- Strong grasp of statistics
- Experience building data models in Python
- Fluency with SQL and relational databases
- Familiarity with econometric modeling and forecasting (e.g. time-series, ARIMA, LSTM)
- Experience with machine learning forecasting approaches, especially to evaluate model accuracy through cross validation
- Experience delivering high-quality analysis and insights with incomplete datasets
Nice To Haves
- Graduate degree in Economics, Mathematics, Statistics, or related field
- Familiarity or interest in infrastructure, transportation, EVs and EV charging, and/or the energy transition.
- Experience or knowledge of geospatial analysis and geospatial datatypes
- Experience deploying production models to AWS or other cloud-compute infrastructure
Responsibilities
- Develop new statistical inference models to improve the Infrastructure Planning team’s existing site selection analysis
- Benchmark models against internal and industry data
- Support deployment of models to cloud-infrastructure and help set up a cross-team analysis pipeline pulling from internal and external data sources
- Work with the Energy Services and Price Performance teams to understand how economic considerations can influence EV driver charging decisions
- Communicate data findings to internal and external teams
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
