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Tesla Data Science Jobs (NOW HIRING)

Tesla

Analytics Engineer, People Programs

Palo Alto, CA · On-site

Required : • Strong background in analytics, data science, engineering, or a related quantitative ... Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and ...

Mochi Health

Data Science Manager

San Francisco, CA

$220K - $250K/yr

This person will drive execution across analytics, data engineering, and operational data work ... Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal ...

Mochi Health

Data Science Manager

San Francisco, CA

This person will drive execution across analytics, data engineering, and operational data work ... Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal ...

Mochi Health

Data Science Manager

San Francisco, CA · On-site

This person will drive execution across analytics, data engineering, and operational data work ... Tesla, SpaceX, Citadel, Harvard, IIT, and more. We value excellence, humility, and empathy in equal ...

BillionToOne

Data Scientist, Prenatal

Menlo Park, CA · On-site

... 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 ...

Tesla

Sr. Product Manager, Global Pricing Platform

Fremont, CA · On-site

$138K - $183K/yr

Exceptional communication is a must Preferred : • Data, Finance, Economics, Computer Science experience is a plus • Experience with financial information and LLM is a plus Company : Tesla is an ...

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

Sr. Cybersecurity Engineer, Energy

Fremont, CA · On-site

Tesla's mission is to accelerate the world's transition to sustainable energy, to facilitate this ... Required : • Bachelor's Degree in Computer Science, Cybersecurity or Engineering discipline and 3 ...

BrainCo

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 ...

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All JobsTesla Data Science Jobs

Tesla Data Science information

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$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:
What job categories do people searching Tesla Data Science jobs look for? The top searched job categories for Tesla Data Science jobs are:
Tesla Data Science jobs near you
Data Engineer, Cell Quality & Field Reliability

Data Engineer, Cell Quality & Field Reliability

Tesla

Fremont, CA • On-site

$112K - $141K/yr

Full-time

Posted 13 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 676 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is a leading electric vehicle and clean energy company, and they are seeking a Data Engineer for their Cell Quality team. The role involves supporting diagnostics and analytics activities related to Li-ion cells, leading quality-focused projects, and analyzing field reliability data to improve product quality.
Responsibilities:
• Perform extensive data study on all field failures and correlation studies with upstream cell manufacturing process. Create test models to ensure proper detection and outlier rejection criteria for field rejects
• Identify trends from field return data and quantify reliability risks for diagnostics of key critical signals/metrics and potential deviation from cell/firmware specifications
• Create data visualizations to communicate analysis results with cross-functional teams and drive decision making of key failure modes on field
• Analyze Field Reliability/Quality data for cell related failures and failure modes to predict expected failure rates, affected populations, verify effectiveness of the corrective actions at Tesla and at suppliers
• Produce cogent and intelligible data visualizations, author technical presentations and summarize high-impact technical findings with strong data analysis package
Qualifications:
Required:
• Bachelor's Degree in Data Science, Data Analytics, Computer Science, Industrial Engineering, Mechanical Engineering, Materials Science, or equivalent experience
• 2+ years of applied industry experience in relevant role
• Strong SQL, Python queries for data analytics, applied knowledge of statistical analysis (like hypothesis testing), time series analysis, working knowledge of reliability statistics such as Weibull Analysis
• Experience building optimal ETL data pipelines across structured and unstructured data sources
• Strong data visualization skills Tableau/JMP, and Python packages such as seaborn, matplotlib
• Working knowledge of Big Data technologies like Hadoop ecosystem (Spark, HDFS, Presto etc.)
• Excellent verbal and written communication skills - ability to break down complex technical topics and deliver visual technical presentations (e.g., PowerPoint) to groups of engineers, scientists, and technicians
• Experience to recommend statistical/analytical models based on manufacturing data and process setup changes to improve quality of product
• Quality control experience in test/manufacturing environment
• Design of experiments for process optimization
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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