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Tesla Data Science Jobs (NOW HIRING)

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Materials Scientist

Boston, MA · On-site

$75K - $115K/yr

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

... at Tesla, Cruise, Pajarito Powder, and DOE-funded startups, including multiple ventures that have ... Build scalable systems for experimental data collection, storage, and analysis to ensure high ...

Materials Scientist

Somerville, MA · On-site

$75K - $115K/yr

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

... Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and ... Have solid understanding of the fundamentals of materials science and polymer development

Lead Scientist

Albuquerque, NM · On-site

$90K - $120K/yr

... at Tesla, Cruise, Pajarito Powder, and DOE-funded startups, including multiple ventures that have ... Build scalable systems for experimental data collection, storage, and analysis to ensure high ...

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

... in software engineering, data science, or ML engineering * Hands-on experience building ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus skills:

Senior Materials Scientist

Somerville, MA · On-site

$115K - $142K/yr

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

Senior Materials Scientist

Boston, MA · On-site

$115K - $142K/yr

Love to harness data; can design and conduct rigorous experiments to optimize materials * Can work ... S., M.S., or PhD in a relevant science or engineering field (all are welcome) Bonus Skills:

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Tesla Data Science information

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$37.5K

$122.7K

$196.5K

How much do tesla data science jobs pay per year?

As of Jul 14, 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for roles like Tesla Data Science. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Many professionals transition into data science later in their careers and find opportunities regardless of age.

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.

Is it difficult to get hired at Tesla?

Getting hired as a Data Scientist at Tesla can be competitive, as the company seeks candidates with strong technical skills, relevant experience, and a background in data analysis, machine learning, or related fields. The hiring process typically involves multiple interviews, technical assessments, and a review of project work or portfolios. Candidates who demonstrate expertise in programming languages like Python or R, along with knowledge of big data tools, tend to have better chances.

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.

Does Tesla hire data scientists?

Yes, Tesla hires data scientists to work on projects related to vehicle automation, energy products, and manufacturing processes. Data scientists at Tesla typically need strong skills in machine learning, data analysis, and programming languages like Python or R, often working in a collaborative environment with cross-disciplinary teams.

How much is a Tesla Data Scientist paid?

Tesla Data Scientists typically earn between $100,000 and $150,000 annually, depending on experience, location, and education. Compensation may also include bonuses, stock options, and benefits, with roles often requiring proficiency in machine learning, data analysis, and programming tools like Python or SQL.
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:
Materials Scientist - Photopolymer Development

Materials Scientist - Photopolymer Development

Formlabs

Boston, MA

Other

Medical, Dental, Vision, Retirement

Re-posted 8 hours ago


Job description

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we're building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we're helping everyone design, prototype, and manufacture faster than ever before.

We're a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you're ready to shape the future of fabrication, come build it with us.

Your Impact: 

Materials development presents one of the greatest opportunities to innovate in 3D printing, unlocking new applications in different industries such as engineering, consumer, manufacturing, automotive and healthcare. Our materials science team works closely with product management, hardware and software teams to develop new materials that push the boundaries of what can be done with 3D printing.

If you are a scientist or engineer with experience in polymer development who's excited to break new ground in an industry that's moving at lightning speed, we want you as a Materials Scientist - Photopolymer Development!

What You'll Do:

  • Design and optimize complex photopolymer formulations to push the boundaries of additive manufacturing.
  • Lead the end-to-end transition of new materials from lab scale concept to commercial launch, supporting technology transfer and scale-up.
  • Establish structure-process-property relationships through rigorous experimentation and analytical characterization to meet demanding product specifications.
  • Learn about the 3D printing process and underlying hardware, and use that knowledge to inform formulation decisions and provide input to future hardware decisions.
  • Collaborate cross-functionally with product management, hardware, and software teams to develop products that meet customer needs and work seamlessly on the Form 4 platform.

About You:

  • BS, MS, or PhD in polymer science, chemical engineering, chemistry, materials science or a related field.
  • Results-oriented and motivated by delivering products in a fast-paced R&D environment.
  • Experience developing thermoset materials including epoxies, urethanes, or acrylates.
  • Enjoys working hands-on in the lab conducting experiments and analyzing large data sets to drive decision making.
  • Able to work autonomously and push projects forward with a high level of independence. 
  • Track record of success including publication, IP generation, or product commercialization.
  • Practices good documentation and can organize complex data, create SOPs, and write clear, detailed internal reports.

Bonus Skills:

  • Familiarity with additive manufacturing technologies
  • Programming and digital analysis (Python, JMP, MATLAB, Minitab etc)
  • Experience with high performance polymers, composites, or elastomers

Our Perks:

  • Robust equity program to build future wealth through RSUs
  • Comprehensive healthcare coverage (Medical, Dental, Vision)
  • 401K matching and access to financial advisors
  • Generous paid Parental Leave (up to 16 weeks)
  • Tenure-based paid Sabbatical Leave (up to 6 weeks)
  • Flexible Out of Office Plan - Take time when you need it
  • Ample on-site parking & pre-tax commuter benefits
  • Healthy on-site lunches, snacks, beverages, & treats
  • Regular sponsored professional development opportunities
  • Many opt-in culture events across our diverse community
  • And of course... unlimited 3D prints

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.