Internship, Data Scientist, Cell Engineering (Fall 2024)
Consider before submitting an application:
This position is expected to start in-person around August or September 2024 and continue through the entire fall term (i.e. through end of 2024) or into early 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. Please consider before submitting an application.
International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.
Internship Program at Tesla
The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.
Your application will be considered across all opportunities for the teams listed below:
The Cell Engineering team at Tesla is looking for a highly motivated intern to contribute to fundamental improvements on our knowledge of how cells work. Tesla is a demanding and fast-paced environment where you will work with a world-class team developing Tesla’s battery technology. This role is focused on analysis and interpretation of battery tests and image data. Your work may include developing software to improve workflows, analyzing large datasets generated from our test labs, creating data visualizations, and improving the robustness of our automated analysis pipeline. The ideal candidate will combine strong knowledge of engineering fundamentals with software programming. Teamwork, analytical ability, organizational skills, and attention to detail are all highly valued skills. Individuals at every level carry a tremendous amount of responsibility and should look forward to learning an incredible amount on the job.
Designing tests and analyzing data to explore fundamental battery degradation modes or drive actionable recommendations to improve vehicle product performance/quality
Identify, analyze, and interpret trends of patterns in complex data sets and depict the story via dashboards and reports
Write efficient SQL/Python code and complex queries across extensive data sets
Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
Automate analyses and author pipelines using SQL, Python, and Airflow based ETL framework
Currently pursuing a degree in Computer Science, Data Science or a related field
Significant, demonstrated technical contributions towards past projects
Experience with continuous integration / continuous deployment
Some familiarity with dev-ops tools: Git, Jenkins, Docker, Kubernetes, Splunk, Redis
Experience with distributed computing (Spark/Hive/Hadoop)
Experience creating data products and dashboards in Tableau, R Shiny, or D3
First principles understanding of engineering concepts with relevant project/research experience
Excellent communication skills, both verbal and written
Ability to work independently on multiple projects with complex requirements