Electra Vehicles

Join the Electra Vehicles team as we revolutionize Energy Storage!

We are a Boston-based B2B company developing the most unique AI Software to optimize the performance of Battery Packs across a wide range of industries. Electra’s AI Adaptive Controls Technology and Analytics Platform work in tandem to improve Electric Vehicle battery pack performance, lifetime, and safety, across entire eFleets.

Our Focus is in the Automotive Industry, particularly electric vehicle manufacturing, EV battery software, connected mobility, fleet management and analytics, and more. Although we are currently focusing on the Automotive sector, Electra's technology can be deployed into the Aerospace, Robotics, Grid and other industries that are rapidly transitioning into clean energy.

Data Science Intern

Our flexible, and fast paced start-up requires interns to adapt quickly and take on several high priority responsibilities. We encourage interns to fully participate in all aspects of the team's projects and there is always the ability to take on additional responsibilities as your skills best suit the team. Passionate and experienced individuals are ideal for this position.


  • Using collected data from Electra partners, apply advanced statistical models and machine learning to extract and refine models
  • Support in the collection & cleaning of data for model training
  • Explore novel machine learning techniques to improve the performance of the adaptive models
  • Support documentation pertaining to modeling techniques and deployment
  • Develop visualization tools for geospatial and temporal datasets


  • Experience or knowledge of working with software systems
  • Pursuing Master’s or Phd Program in a related field (e.g., CS, Operations Research, Software Engineering, Statistics)
  • Strong programming skills with a solid foundation in data structures and algorithms
  • Proficiency in data analysis, modeling, and web services in Python
  • Proficiency in SQL relational databases and/or NoSQL databases


  • Fully remote
  • 30+ hours a week
  • Availability within M-F 9:30-5:30 EST preferred
  • Start: August or September 2022
  • End: December 2022 with opportunity to extend
  • Rate: Negotiable