ZipRecruiter

Log In

1

Tesla Data Science Jobs (NOW HIRING)

Tesla

Sr. Data Analyst, Machine Learning

Fremont, CA · On-site

$94K - $119K/yr

Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and ... Required : • Degree in Data Science, Machine Learning, Statistics, Computer Science, or a related ...

Tesla

Data Analyst, People Products

Austin, TX · On-site

Job Summary : Tesla is seeking a Data Analyst to join their People Analytics team, which is ... Required : • Bachelor's Degree in Data Analytics, Data Science, Statistics, or equivalent ...

New

Tesla

Sr. Data Engineer, Supply Chain

Fremont, CA · On-site

$125K - $151K/yr

Tesla is seeking a highly skilled Data Engineer to join their Supply Chain Analytics & Engineering ... Required : • Degree in Computer Science, Data Engineering, Information System, and evidence of ...

Otter.ai

Data Scientist, Product

Mountain View, CA · On-site

$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 ...

Otter.ai

Data Scientist, Product

Seattle, WA · 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 ...

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 ...

Otter.ai

Data Scientist, Product

Seattle, WA · On-site

$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 ...

Tesla

Data Engineer, Inbound Logistics

Fremont, CA · On-site

$125K - $151K/yr

Tesla is a leading electric vehicle and clean energy company, and they are seeking a Data Engineer ... Required : • Degree in a quantitative field (e.g., Engineering, Computer Science, Supply Chain ...

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 ...

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 ...

Tesla

Sr. Software Engineer, Solar Software

Austin, TX

$121K - $160K/yr

... needs of Tesla's rapid manufacturing scale up. This software tracks everycomponentof the ... This platform is the conduit for data coming from the line, and it is part of the goal to have more ...

Cognition

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

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

next page

Showing results 1-20

All JobsTesla Data Science Jobs

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:
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
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.
Sr. Data Analyst, Machine Learning

Sr. Data Analyst, Machine Learning

Tesla

Fremont, CA • On-site

$94K - $119K/yr

Full-time

Posted 6 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

Job Summary:
Tesla is seeking a highly skilled Sr Data Analyst to build and scale predictive analytics and machine learning capabilities for their global supply chain organization. The role involves owning and improving critical ML models, co-designing AI applications, and collaborating with cross-functional teams to deliver actionable business insights.
Responsibilities:
• Co-design AI applications with the Data Engineering team, defining model requirements, performing feature engineering, and managing the full model lifecycle (MLOps) from development through deployment and monitoring
• Develop and maintain scalable ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and serving infrastructure
• Translate complex analytical findings into clear, actionable recommendations for Supply Chain leadership and cross-functional stakeholders, drive the team's evolution from descriptive and operational analytics into predictive and prescriptive decision support
• Evaluate and adopt emerging ML/AI techniques and tools to continuously improve model performance and expand the team's data science capabilities
• Collaborate with cross-functional teams to align data science solutions with business goals and deliver measurable outcomes
Qualifications:
Required:
• Degree in Data Science, Machine Learning, Statistics, Computer Science, or a related quantitative field, or equivalent experience and evidence of exceptional ability
• 3-5 years of experience in applied Data Science or Machine Learning, with a proven track record of building, deploying, and maintaining ML models in production environments
• Strong proficiency in Python and ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) for model development, evaluation, and deployment
• Experience with clustering, classification, regression, time-series forecasting, and NLP techniques applied to real-world business problems
• Proficiency in SQL for data extraction, transformation, and analysis across large-scale datasets
• Hands-on experience with MLOps practices, including model versioning, experiment tracking (e.g., MLflow), automated retraining, and monitoring model drift
• Familiarity with workflow orchestration tools (e.g., Airflow) and containerized deployment (e.g., Docker, Kubernetes)
• Strong communication and collaboration skills, with the ability to present complex technical concepts to non-technical stakeholders and work effectively across cross-functional teams
Preferred:
• Experience in supply chain, manufacturing, or procurement analytics is a plus
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.

What Tesla employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply