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Automotive Data Scientist Jobs (NOW HIRING)

AutoZone

Lead Data Scientist

Memphis, TN · On-site

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... automotive parts and accessories across the Americas. Our customer-first mindset and commitment to ...

AutoZone

Lead Data Scientist

Memphis, TN · On-site

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... automotive parts and accessories across the Americas. Our customer-first mindset and commitment to ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

Stellantis is a global automotive company seeking a Data & AI Scientist to develop advanced data use cases in their Global Supply Chain business domain. The role involves building predictive models ...

JPMorgan Chase & Co

Data Scientist Associate

Manhattan, NY · On-site

$65K - $65K/yr

As part of the Chase Auto team, you'll directly support a sales organization focused on growing auto originations through strategic automotive partnerships. As an Associate Data Scientist, you will ...

Bloom Energy

Staff Data Scientist

Fremont, CA

$112K - $161K/yr

We are looking for a Staff Data Scientist, to join our team in one of today's most exciting ... automotive, semiconductor, medical devices, chemicals). Physical Requirements (optional)

USAA

Data Scientist Senior

Plano, TX · On-site +1

United Services Automobile Association Tasks: Gathers, interprets, and manipulates structured and ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

Bloom Energy

Staff Data Scientist

Fremont, CA · On-site

$112K - $161K/yr

We are looking for a Staff Data Scientist, to join our team in one of today's most exciting ... automotive, semiconductor, medical devices, chemicals). Physical Requirements (optional)

USAA

Data Scientist Senior

Plano, TX · On-site

United Services Automobile Association Tasks: Gathers, interprets, and manipulates structured and ... Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks.

The Hagerty Group, LLC

Data Scientist III

Folsom, PA · On-site

S. and Europe, we host a number of driving events and concours, and our award-winning automotive ... As a Data Scientist III at Hagerty, you'll build the customer identity and personalization layer ...

Kia America, Inc.

Data Scientist- Applied AI

Irvine, CA · On-site +1

At Kia, we're creating award-winning products and redefining what value means in the automotive ... Status Exempt General Summary The Data Scientist plays an important role in executing data analysis ...

Kia America

Data Scientist- Applied AI

Irvine, CA · On-site +1

At Kia, we're creating award-winning products and redefining what value means in the automotive ... Status Exempt General Summary The Data Scientist plays an important role in executing data analysis ...

Kia America

Data Scientist- Applied AI

Irvine, CA · On-site

At Kia, we're creating award-winning products and redefining what value means in the automotive ... Status Exempt General Summary The Data Scientist plays an important role in executing data analysis ...

Hagerty

Data Scientist III

Charleston, WV

As a Data Scientist III at Hagerty, you'll build the customer identity and personalization layer ... broader automotive enthusiast community-and turn it into recommendation, personalization, and ...

USAA

Data Scientist I

Charlotte, NC · On-site +1

United Services Automobile Association Tasks: Partners with other analysts across the organization ... Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics ...

USAA

Data Scientist I

Charlotte, NC · On-site

United Services Automobile Association Tasks: Partners with other analysts across the organization ... Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics ...

USAA

Data Scientist I

Charlotte, NC · On-site +1

United Services Automobile Association Tasks: Partners with other analysts across the organization ... Requirements: Will accept a Bachelor's degree in Computer Science, Applied Mathematics ...

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All JobsAutomotive Data Scientist Jobs

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 Jun 14, 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:
Automotive Data Scientist jobs near you
Infographic showing various Automotive Data Scientist job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist - Commercial Analytics

Data Scientist - Commercial Analytics

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 9 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial performance measurement and growth while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
  • Communicate complex results clearly to both technical and non-technical audiences.
  • Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks.
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance.
  • Conduct peer code reviews and support best practices in model development and deployment.
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Minimum of 3 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
    • Tree-based models (Random Forest, XGBoost, LightGBM)
    • Neural networks
    • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
  • Automotive experience
  • 2+ years of experience working with commercial data
  • Experience using PySpark for distributed data processing and feature engineering
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures
  • Experience with experimental design, and statistical inference
  • Exposure to feature stores and model registries in MLOps environments
  • Experience with Power BI or similar tools for data visualization and dashboarding

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