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Automotive Data Scientist Jobs in Indiana (NOW HIRING)

Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent ... Experience with Palantir Foundry Subaru of Indiana Automotive, Inc. is an equal opportunity ...

Industrial Engineer

Fort Wayne, IN

$63K - $85K/yr

Manager, Costing VOSS Automotive is a leading global supplier to on-highway and off-road OEMs ... Create and utilize Excel spreadsheets to perform complex calculations, track data, and publish ...

... automotive and cosmetics industries. We foster a global collaborative organization made up of ... You will influence how R&D scientists design experiments, capture data, and analyze results to ...

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Automotive Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do automotive data scientist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for automotive data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an automotive data scientist?

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.

What are popular job titles related to Automotive Data Scientist jobs in Indiana? For Automotive Data Scientist jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Automotive Data Scientist jobs in Indiana look for? The top searched job categories for Automotive Data Scientist jobs in Indiana are:
What cities in Indiana are hiring for Automotive Data Scientist jobs? Cities in Indiana with the most Automotive Data Scientist job openings:

Data Analytics Developer

Subaru

Lafayette, IN • On-site

Other

Re-posted 14 days ago


Subaru rating

6.7

Company rating: 6.7 out of 10

Based on 156 frontline employees who took The Breakroom Quiz

35th of 44 rated automakers


Job description

Data Analytics Developer

Information Technology Department

Position Summary:

Data Analytics Developers are data experts who design, build and maintain data analysis solutions. Data Analytics Developers understand, mine, aggregate, and expose business data to enable efficient decision-making and the discovery of data-based business insights. Data Analytics Developers use a variety of tools, techniques, and languages to create dashboards and populate reporting tools.

Outline of Duties:

  • Collaborate with SIA management and business users to define data analysis requirements and specifications
  • Work with transactional system developers to locate and understand source data
  • Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Design, create, and maintain data warehouses, data lakes, data marts, etc. to support analysis and reporting, following best practices and considering data retention policies
  • Create and model ontology objects; design and build reports and data visualizations, including dashboards
  • Modify solutions to fix errors, adapt to new hardware or runtimes, improve performance, or upgrade interfaces or software versions
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned (ex. perform or coordinate web development) 

Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Data Analytics, Informatics or related field or equivalent

Desired Qualifications:

  • Master's Degree in Computer Science or related field or equivalent experience
  • Experience with Palantir Foundry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.


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