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Tesla Data Science Jobs (NOW HIRING)

Degree in Computer Science, Engineering, Physics, or equivalent experience * Have built or deployed ... Tesla Babies program * Commuter benefits * Employee discounts and perks program Expected ...

Early Career AI/ML Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

We're looking for a Data Scientist who thrives on turning operational chaos into clarity. You'll ... Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal ...

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we ... Hold a BSc/Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related ...

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Tesla Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do tesla data science jobs pay per year?

As of Jun 18, 2026, the average yearly pay for tesla data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a Tesla Data Scientist do?

A Tesla Data Scientist analyzes large sets of data to provide insights and support decision-making across various departments, such as engineering, manufacturing, and energy. They use advanced statistical techniques, machine learning, and data visualization to solve complex problems and improve Tesla's products and processes. Working at Tesla often means collaborating with cross-functional teams and working in a fast-paced, innovative environment. Their work can impact vehicle performance, energy efficiency, manufacturing quality, and customer experience.

How does a Data Scientist at Tesla typically collaborate with cross-functional teams to drive impactful projects?

At Tesla, Data Scientists frequently collaborate with engineers, product managers, and business analysts to turn complex data into actionable insights. This often involves participating in regular meetings, aligning on project goals, and communicating findings to both technical and non-technical stakeholders. Data Scientists work closely with software and hardware teams to design experiments, validate models, and implement data-driven solutions that improve products or operations. Effective communication and teamwork are key, as many projects are fast-paced and require input from multiple disciplines.

What is the difference between Tesla Data Science vs Tesla Data Engineering?

AspectTesla Data ScienceTesla Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analyticsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and infrastructure
Work EnvironmentAnalyzing data, building models, interpreting resultsDeveloping and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Tesla for product insights, autonomous driving, energy solutionsSupports Tesla's data infrastructure, ensuring data availability and quality

Tesla Data Science focuses on analyzing data and building predictive models to inform decisions, while Tesla Data Engineering centers on creating and maintaining the data infrastructure that enables data collection and processing. Both roles are essential and often collaborate within Tesla's data ecosystem.

What are the key skills and qualifications needed to thrive as a Tesla Data Scientist, and why are they important?

To thrive as a Tesla Data Scientist, you typically need a strong background in statistics, machine learning, and programming (especially Python or R), supported by a relevant degree in computer science, engineering, or a related field. Experience with big data tools like SQL, Spark, and data visualization platforms, as well as familiarity with cloud computing and Tesla's proprietary systems, is often required. Exceptional problem-solving, communication, and collaboration skills distinguish top performers in this dynamic environment. These skills are crucial for analyzing large-scale data to drive innovation and support Tesla's data-driven decision-making.
More about Tesla Data Science jobs
What states have the most Tesla Data Science jobs? States with the most job openings for Tesla Data Science jobs include:
Infographic showing various Tesla Data Science job openings in the United States as of June 2026, with employment types broken down into 100% As Needed. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Internship, Software Integration Engineer, Service Tooling (Fall 2026)

Internship, Software Integration Engineer, Service Tooling (Fall 2026)

Tesla

Fremont, CA

$31.25 - $50.48/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 663 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers


Job description

What to Expect

Consider before submitting an application:

This position is expected to start August or September 2026 and continue throughfall term (endingapproximately December 2026) or continuing into Winter/Spring 2027 if available and there is an opportunity to do so. We ask for a minimum of12 weeks, full-time (40 hours/week) and on-site, for most internships.Our internship program is for students who are actively enrolled in an academic program.Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not 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.

At Tesla,we'reaccelerating the world's transition to sustainable energy. Our Service Tooling team is at the heart of this mission, creating the innovative software and hardware solutions that our technicians use to efficiently service andmaintainourcutting-edgevehicles, including the Tesla Robotaxi.

Join our team and contribute to the unique challenges ofmaintaininga fleet of autonomous vehicles. As a Software Integration Engineer Intern, you will support the development of software that powers the advanced hardware and automated systems our technicians rely on every day.

What You'll Do
  • Assistingin the design and development of software solutions for service tooling equipment
  • Collaboratingwith senior engineers to integrate software with various hardware, automation systems, and other components
  • Contributingto projects that advance the team's ability to create more integrated and intelligent systems
  • Writingclean, well-documented code and helping to create technical documentation and diagrams
  • Participatingin hands-on testing and debugging of your code in collaboration with our expert engineering and service technicians
  • Supportingthe development of software and automation systems for all our vehicle platforms in service centers worldwide

What You'll Bring
  • Currently pursuinga degree in Computer Science, Mechatronics, Electrical Engineering, or a related field
  • Programming experiencein languages such as Python, C++, or SQL through coursework or personal projects
  • Afoundational understandingof software development principles, including data structures and algorithms
  • A strong desireto learn and ahands-on approachto solving problems
  • Excellent problem-solving skills rooted infirst principles thinkingPreviousinternship experience or involvement in student projects (e.g., Robotics Club, coding competitions) preferred
  • Aninterest in automation, robotics, or machine learning preferred
  • Familiarity with software testing methodologies and design patternspreferred
  • Exposure to hardware integration or embedded systemspreferred
  • Aninterest in automation, robotics, or machine learning preferred
  • Familiarity with software testing methodologies and design patternspreferred
  • Exposure to hardware integration or embedded systemspreferred

Compensation and Benefits Benefits

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

  • Medical plans > 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)
  • 401(k), Employee Stock Purchase Plans, and other financial benefits
  • Company Paid Basic Life, AD&D, and short-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions), 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 $31.25 - $50.48/hour + 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.


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