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Tesla Data Science Jobs in California (NOW HIRING)

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site +1

$155K - $185K/yr

Stay current with industry trends, emerging technologies, and best practices in data science ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

BillionToOne

Data Scientist, Prenatal

Menlo Park, CA

... a data science hat to analyze it, build dashboards, and deliver insights that drive decisions ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin is just the first step-our ... engineering, data science, or full-stack data role * Expert on SQL and Python (required)

Tesla

Software Engineer, Optimus

Palo Alto, CA · On-site

... data acquisition systems, mechanical actuators, PLCs, and Tesla products over CAN, UDS, etc. • ... • Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical ...

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All JobsTesla Data Science JobsTesla Data Science Jobs in California

Tesla Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do tesla data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for tesla data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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.
What are popular job titles related to Tesla Data Science jobs in California? For Tesla Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Tesla Data Science jobs in California look for? The top searched job categories for Tesla Data Science jobs in California are:
Tesla Data Science jobs near you
Infographic showing various Tesla Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Staff Product Manager, Data Center Hardware Lead

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 29 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 679 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla’s industrial products team is working on new hardware for AI data centers and is seeking a Senior Product Manager to lead this effort from the ground up. The role involves defining product strategy, leading cross-functional development, and collaborating closely with engineering leaders, sales, and operations to deliver innovative data center hardware solutions to market quickly and at scale.
Responsibilities:
• Define the product vision, strategy, and roadmap for Tesla's data center hardware offering
• Lead cross-functional product development from concept through design, qualification, launch, and field deployment
• Develop and maintain product requirements informed by active stakeholder discovery, technical constraints, and market signals
• Drive rapid iteration cycles and make data-driven product decisions in a fast-moving development environment
• Build deep customer understanding by engaging directly with data center operators, hyperscalers, and colocation providers — translating their power density, cooling, and infrastructure requirements into product specs
• Partner with hardware and software engineering teams to solve complex system-level technical challenges including power distribution, thermal management, and physical infrastructure
• Define go-to-market approach and product positioning in collaboration with Sales and Commercial teams
• Develop technical documentation, product specifications, and customer-facing materials
• Manage product lifecycle from early-stage development through volume production and sustaining engineering
• Represent the product in cross-functional forums and communicate clearly to executive stakeholders
Qualifications:
Required:
• 5+ years of experience in product management, engineering, or technical business development with recent direct exposure to data center hardware, power infrastructure, or a closely related domain
• Working knowledge of data center systems including power distribution (UPS, PDU, busway), cooling technologies (air, liquid, immersion), and rack-level infrastructure
• Familiarity with data center performance metrics and standards — including PUE, power density (kW/rack), and Uptime Institute tier classifications
• Comfortable operating in environments with significant ambiguity and rapidly evolving requirements
• Strong technical background — ability to engage deeply with hardware engineering teams and evaluate system-level design tradeoffs
• Exceptional communication skills with the ability to align diverse stakeholders across engineering, sales, and executive leadership
• Strong customer discovery skills — ability to generate product insights from early-stage customer conversations
• Degree in Engineering, Computer Science, or a related technical field, or equivalent experience
• High sense of urgency, ownership mentality, and genuine excitement for building at the frontier of energy and compute infrastructure
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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