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Automotive Data Scientist Jobs (NOW HIRING)

Experience in automotive or advanced manufacturing environments * Proficiency with GenAI agents ... data science workflow efficiency improvement * Experience working in AWS cloud * Hands-on ...

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency ...

System & Data Scientist

Sunnyvale, CA · Hybrid

$209K - $298K/yr

About you Essential * 7+ years experience in systems engineering, automotive data analysis, data science, or a related field. * Experience analyzing or defining ODDs in the context of AV/ADAS ...

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Automotive, manufacturing, or industrial experience preferred. SKILLS AND ABILITIES: * Proficiency ...

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable ... Role overview As a member of the Data Science team with a focus on CarGurus's international ...

Overview and Summary We are Automotive Business Scientists. We empower our clients to turn overwhelming industry data into discovery, action and measured success. We are unique market leaders because ...

Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Who We're Looking For As a Data Scientist in Delivery, you are a problem solver and ...

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... automotive, and healthcare. Our clientele includes industry giants like Microsoft, Google, Johnson ...

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Automotive Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do automotive data scientist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for automotive data scientist 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 are the key skills and qualifications needed to thrive as an Automotive Data Scientist, and why are they important?

To thrive as an Automotive Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, engineering, or related fields. Expertise with tools such as Python, R, SQL, and automotive-specific data platforms, as well as experience with big data frameworks and relevant certifications, is highly valued. Excellent problem-solving, communication, and collaboration skills help you translate complex data insights into actionable solutions for cross-functional teams. These capabilities are vital for driving innovation, optimizing vehicle performance, and enabling data-driven decision-making in the rapidly evolving automotive industry.

What is an Automotive Data Scientist?

An Automotive Data Scientist is a professional who uses data analysis, machine learning, and statistical methods to solve problems and optimize processes within the automotive industry. They analyze large sets of data collected from vehicles, manufacturing processes, or consumer behavior to improve vehicle performance, safety, and efficiency. Their work often involves developing predictive models for maintenance, enhancing autonomous driving systems, and supporting decision-making for product development. Automotive Data Scientists collaborate with engineers, software developers, and business teams to turn data insights into actionable improvements.

How does an Automotive Data Scientist typically collaborate with engineers and product teams?

Automotive Data Scientists frequently work alongside engineers and product teams to translate complex vehicle data into actionable insights. Collaboration often involves regular meetings to discuss project goals, sharing analyses that can inform design or manufacturing improvements, and developing data-driven solutions for issues such as predictive maintenance or autonomous vehicle algorithms. Clear communication is essential, as data scientists must explain technical findings in a way that is accessible to non-technical team members, ensuring everyone is aligned on objectives and next steps. This cross-functional teamwork is crucial for integrating advanced analytics into automotive products and services.

What is the difference between Automotive Data Scientist vs Automotive Data Analyst?

AspectAutomotive Data ScientistAutomotive Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of machine learningDegree in Data Analysis, Business, or related field; proficiency in data visualization
Work EnvironmentDevelops predictive models, advanced analytics, and algorithms for vehicle dataPerforms data cleaning, reporting, and basic analysis of automotive datasets
Employer & Industry UsageAutomotive manufacturers, tech companies, R&D departmentsDealerships, automotive suppliers, marketing teams

Automotive Data Scientists focus on creating advanced models and algorithms to interpret complex vehicle data, while Automotive Data Analysts handle data reporting and basic analysis to support business decisions. Both roles are essential in the automotive industry but differ in technical depth and responsibilities.

More about Automotive Data Scientist jobs
What cities are hiring for Automotive Data Scientist jobs? Cities with the most Automotive Data Scientist job openings:
What states have the most Automotive Data Scientist jobs? States with the most job openings for Automotive Data Scientist jobs include:
What job categories do people searching Automotive Data Scientist jobs look for? The top searched job categories for Automotive Data Scientist jobs are:
Infographic showing various Automotive Data Scientist job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Principal Data Scientist

Principal Data Scientist

Toyota

Plano, TX

Full-time

Medical, Retirement, PTO

Re-posted 6 days ago


Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 869 frontline employees who took The Breakroom Quiz

26th of 44 rated automakers


Job description

Overview

Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.

Toyota does not offer support or sponsorship of job applicants for employment-based visas or any other work authorization for this role now or in the future. You must have the right to work in the United States and not require Toyota support or sponsorship for immigration-related employment (e.g., H-1B, O-1, E-3, H-1B1, TN, F-1 OPT, F-1 STEM OPT, F-1 CPT, TN, (job flexibility benefits) (also known as I-140 or Adjustment of Status portability), etc.) now or in the future. You should not apply for this role if you will require Toyota to assist with immigration support or sponsorship now or in the future.

Who we're looking for

Toyota's OneTech Data Science and Machine Learning Department is looking for a passionate and highly motivated Principal Data Scientist.

The primary responsibility of this role is to lead the design, development, and industrialization of advanced data science and machine learning solutions that drive measurable business value across multiple domains.

Reporting to the Senior Manager, Data Science and Machine Learning, the person in this role will support the Data Science and Machine Learning department's objective to accelerate the adoption of scalable analytics, machine learning, and AI solutions across the quality, service parts, and manufacturing domains.


What you'll be doing

  • Lead and contribute to the end-to-end delivery of complex data science initiatives across discovery, data exploration, experimentation, proof-of-concept, deployment, monitoring, and continuous improvement

  • Design and develop scalable machine learning, deep learning, computer vision, optimization, and generative AI solutions for business and manufacturing use cases

  • Translate ambiguous business problems into clear analytical approaches, technical designs, and deployable solutions that create measurable impact

  • Build production-quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization

  • Partner with product managers, data engineers, Machine Learning (ML) engineers, domain experts, and business stakeholders to ensure successful implementation and adoption of data science solutions

  • Drive technical excellence in model evaluation, interpretability, robustness, performance tuning, and production readiness

  • Contribute to reusable frameworks, standards, and best practices that improve team productivity and solution quality

What you bring

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related quantitative field, and a minimum of 5 years of relevant experience

  • Strong hands-on experience delivering data science solutions across the full lifecycle from proof-of-concept to production deployment

  • Technical expertise in machine learning, statistical modeling, deep learning, optimization, computer vision, and generative AI methods

  • Hands-on proficiency with Python, PySpark, SQL, and modern data science development practices for scalable and maintainable solutions

Added bonus if you have

  • A PhD in a related quantitative field

  • Experience applying data science in product quality, manufacturing quality, or related industrial quality domains

  • Experience in automotive or advanced manufacturing environments

  • Proficiency with GenAI agents, including designing, orchestrating, or deploying agent-based AI workflows for business use cases and data science workflow efficiency improvement

  • Experience working in AWS cloud

  • Hands-on experience with enterprise platforms and tools such as AWS SageMaker developer tools, Databricks, Spark, Airflow, and GitHub

What we'll bring

During your interview process, our team can fill you in on all the details of our industry-leading benefits andcareer development opportunities. A few highlights include:

  • A work environment built on teamwork, flexibility and respect

  • Professional growth and development programs to help advance your career, as well as tuitionreimbursement

  • Team Member Vehicle Purchase Discount

  • Toyota Team Member Lease Vehicle Program (if applicable)

  • Comprehensive health care and wellness plans for your entire family

  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution fromToyota regardless of whether you contribute

  • Paid holidays and paid time off

  • Referral services related to prenatal services, adoption, childcare, schools and more

  • Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.


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