Consider before applying: This position is expected to start in January and continue through April/May. Internships are in-person for 40 hours a week for a minimum of 12 weeks. Please consider before submitting an application.

International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team’s success.

About the Team

Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, Superchargers, and energy storage devices to make these products better and our customers safer.

The Fleet Analytics team is a central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage our internal data platform built on top of AWS, S3, Spark, Trino using open source data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow. Our work has a direct impact on Tesla's product, and enables the work of hundreds of engineers across disciplines throughout the company.

• Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
• Write reproducible data analysis over petabytes of data using cutting-edge open source technologies
• Summarize and clearly communicate data analysis assumptions and results
• Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
• Design and implement metrics, applications and tools that will enable engineers by allowing them to self-serve their data insights
• Work with engineers to drive usage of your applications and tools
• Write clean and tested code that can be maintained and extended by other software engineers

• Strong proficiency in Python, SQL
• Able to understand electrical systems
  
• Strong foundation in statistics
• Experience building data visualizations
• Experience writing software in a professional environment
• Strong verbal and written communication skills
• Strong problem-solving skills to help refine problem statements and figure out how to solve them with the available data
• Experience with data science tools such as Pandas, Numpy, R, Matlab, Octave is a plus
• Experience building data pipelines and web applications is nice to have