Data Science Internship (Spring/Summer 2024)

What to Expect

Disclaimer: This posting is for both the Spring and/or Summer terms. Please accurately state your availability when applying. The Spring Internship is expected to start around January 2024 and continue through the entire Spring term (i.e. through May 2024). The Summer Internship is expected to start around May 2024 and continue through the entire Summer term (i.e. through August 2024). We ask for a minimum of 12 weeks, full-time (40 hours/week) and on-site. 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.

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.

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:
Energy | 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.

Energy | 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.

Energy | 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.

• Energy | 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.

What You’ll Bring

• Pursing a BS, MS or higher degree in a relevant program such as Mechanical, Electrical, Computer Science, Business, Data Science, Data Analytics, Operations Research, Business Analytics / MBA with data and analytics focus or similar or has a focus on Power and Energy Systems
• Experience with Project Management Tools such as Jira and programming languages such as SQL, Python, and/or JavaScript

Energy | Data Science Engineer

• Answer complex questions on fleet usage and behavior to enable proactive monitoring, grow reliability, and minimize field failures
• Build scalable data pipelines to deploy fleet health monitoring models
• Strong MLOps and DevOps skills
• Solid understanding of statistics (Statistical Learning, Bayesian Models,...)
• Strong knowledge of data structures and architectures and languages such as SQL

Energy | Product Engineer

• 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.

Energy | Service Engineering

• Work with design and engineering team to engineer a matrix of supersession and interchangeability information for product lines.
• Work closely with Project, Design, and Product engineering teams to identify and shape changes to service parts
• Build workflows and tools to integrate data sources (such as JIRA/WARP/Github) to track changes that affect deployed products

Energy | Service Engineering Data Analytics and Infrastructure, Query Optimization

• Optimize and undertake advanced SQL queries on massive datasets to create analytics that provide insight to drive action using various SQL languages and Spark distributed infrastructure.
• Create and maintain analytics dashboards (using Tableau and similar tools).
• Create and maintain data ELT pipelines using Airflow scheduling
• Use Git and Jira for workflow tracking.

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.