Data Science intern
Employment Information
What to Expect
Consider before submitting an application:
This position is expected to start around August 2024 and continue through the entire Fall term (i.e. through December 2024) or into Spring 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships.
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.
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.
Locations: Palo Alto, CA, Fremont, CA, Austin, TX
What You’ll Do
Qualified applicants may be reviewed by one or more of the following teams:
Data Science Engineer
- The reliability data team collects real-time life data from test and fleet (energy, charging, and vehicle products) and is responsible for retrieving, analyzing and summarizing results to cross-functional teams. The team provides support through the whole design cycle by building software and statistical tools that orchestrate all the reliability physics analyses. The scope of responsibility includes answering, complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures, building scalable data pipelines to deploy fleet health monitoring models. The ideal candidate has Strong MLOps and DevOps skills, solid understanding of statistics (Statistical Learning, Bayesian Models) and strong knowledge of data structures and architectures and languages such as SQL
Product Engineer
- Tesla Energy Products Service Engineering and Fleet Analytic team utilize fleet data and engineering fundamentals to monitor product performance, and root cause design, process, or firmware failures in our fleet of renewable energy hardware. The person in this role would play a central role in ensuring we have the highest quality products for our customers. This person will work with a cross-functional team of engineers to define and track product KPIs, troubleshoot and diagnose device issues, deploy necessary corrective actions ranging from firmware changes, hardware design changes, manufacturing process or installation process changes, etc. The scope of responsibility will include Develop and run data queries on fleet logs to help (1) root cause analysis (2) support performance investigations and (3) new product introduction monitoring efforts. Work with the engineering and manufacturing teams to drive design and manufacturing changes to improve product quality in both existing and future products. Define data signatures that uniquely identify the failure and lead integration of this knowledge into algorithms to automatically identify similar other failures in the field
Service Engineering
- The Energy Service NPI enables a healthy fleet of Energy products by coordinating the launch and scale of systems, tools, and information to empower Tesla to resolve unique and challenging technical problems in the deployed fleet efficiently and at scale. We interface with virtually every team and system at Tesla, making our team one of the most FUN to be on. We get to help solve some of Tesla’s most interesting and complex problems, like how to replace 2,000-pound battery modules in industrial storage sites around the world and how to design the most cost-effective AND most serviceable chargers for Semi Trucks. We use data analytics, custom software, mechanical, electrical, process, and industrial engineering expertise to tackle these problems with Design Engineering, Field Service, Tooling, Manufacturing, Logistics, Finance, and many more teams. The scope of responsibility include working with design and engineering team to engineer a matrix of supersession and interchangeability information for product lines. working closely with Project, Design, and Product engineering teams to identify and shape changes to service parts. Building workflows and tools to integrate data sources (such as JIRA/WARP/Github) to track changes that affect deployed products
Service Engineering Data Analytics and Infrastructure, Query Optimization
- The Tesla Energy Service Engineering Data Analytics and Infrastructure team is responsible for leveraging the vast amount of data from the Energy fleet to ensure the best customer experience and fleet availability across the entire Tesla Energy portfolio; Industrial, Residential, Supercharger, and Solar. In this internship you will have a mandate to identify and improve the underlying algorithms and infrastructure supporting the entire Energy organization. The scope of responsibility includes optimizing and undertaking advanced SQL queries on massive datasets to create analytics that provide insight to drive action using various SQL languages and Spark distributed infrastructure. Creating and maintaining analytics dashboards (using Tableau and similar tools). Creating and maintaining data ELT pipelines using Airflow scheduling. Using Git and Jira for workflow tracking
What You’ll Bring
- Currently pursing a degree in Computer Science, Data Science, Data Analytics, or a related field
- Experience with Project Management Tools such as Jira and programming languages such as SQL, Python, and/or JavaScript
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 - $60.00 + 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.
Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.
Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice
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