Internship, Data Scientist, Cell Engineering; Fall

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:

Cell Engineering:

• 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.

What You’ll Do

• 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

What You’ll Bring

• Currently pursuing a degree in Computer Science, Data Science or a related field

• Significant, demonstrated technical contributions towards past projects

• Programming experience with Python (preferred), MATLAB, and/or Java Script

• 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

Compensation and Benefits

Benefits

As a full-time Tesla Intern, you will be eligible for:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• 401(k), Employee Stock Purchase Plans, and other financial benefits
• Company Paid Basic Life, AD&D, and short-term disability insurance
• Employee Assistance Program
• Sick time after 90 days of employment and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Commuter benefits
• Employee discounts and perks program

Expected Compensation

$20.00 - $50.00 + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.