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Automotive Data Scientist Jobs (NOW HIRING)

About You You are an experienced data scientist energized by ambiguous, high-stakes problems. You ... automotive, data center, personal electronics and communications equipment. At our core, we have a ...

... automotive, data center, personal electronics and communications equipment. At our core, we have a ... Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related ...

DATA SCIENTIST Location: Columbus, OH (Onsite) * Data Science - 7+ yrs * SAS - 5+ * Python -5+ * ... or Automotive Industry (Preferred) Comments/Special Instructions SAS CWF Skill Set * Python ...

The Data Scientist partners with business and technology stakeholders to identify opportunities ... General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses ...

The Data Scientist partners with business and technology stakeholders to identify opportunities ... General office equipment, telephone, automobile, personal protective equipment (i.e. safety glasses ...

... automotive. Position: Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the ...

... automotive. Position: Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the ...

... automotive. Position: Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the ...

... automotive. Position: Data Scientist Location: Etters, PA Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the ...

Data scientists work closely with data engineers, analysts, and business teams to design analytics ... Automotive experience * Tree-based models (Random Forest, XGBoost, LightGBM) * Clustering and ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... The work spans industries and problem types (automotive, retail, financial services, and more) so ...

Data Scientist Role Summary OneMagnify's Data Scientists sit at the intersection of client strategy ... The work spans industries and problem types (automotive, retail, financial services, and more) so ...

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Automotive Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do automotive data scientist jobs pay per year?

As of Sep 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 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.

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.

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.

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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 are popular job titles related to Automotive Data Scientist jobs?

For Automotive Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Automotive Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Developer & Data Scientist IRC303082

Gothenburg, NE • On-site

GlobalLogic
Software Development • 10K+ employees

Other

Posted 12 days ago


Key responsibilities

  • Assist with the development, testing, and documentation of data-processing pipelines and machine learning components for vehicle datasets.

  • Help inspect, clean, and structure diagnostic logs and telemetry data for analysis.

  • Support the implementation and testing of baseline analytical models and assist in building simple web interfaces or APIs for analytical tools.


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

AI, Automotive, Data Engineer, Data Science, Machine Learning, Python

We are seeking an enthusiastic Student or Recent Graduate (AI Developer & Data Scientist) to support the development of our AI-based Measurement Analytics Tool. In this entry-level role, you will have the unique opportunity to apply your academic knowledge to real-world challenges, helping to build and refine a functional Proof of Concept (POC) that turns vehicle telemetry and diagnostic logs into software verification insights. Working under the direct mentorship of senior architects, you will help implement basic ML pipelines, data cleaning scripts, and prototype user interfaces. This role is highly learning-oriented, designed for individuals eager to grow their skills in a professional automotive data science environment.

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Requirements
  • Experience Level: No professional experience required. Strong portfolio of academic coursework, university lab projects, github repositories, hackathons, or personal projects demonstrating hands-on Python development.
  • Core Technical Stack: Solid foundational programming skills in Python, with exposure to standard libraries through coursework or projects.
  • Basic ML Concepts: Academic exposure to machine learning fundamentals, such as time-series analysis, clustering algorithms, or introductory Natural Language Processing (NLP).
  • Data Manipulation: Ability to write scripts to parse, filter, and format raw files (like CSVs or text logs).
  • Aptitude & Passion: High curiosity, strong problem-solving skills, and a keen interest in learning vehicle systems, automotive protocols (e.g., CAN, LIN), or diagnostic logs.
  • Education: Currently pursuing or recently completed a Bachelor’s (B.Sc.) or Master’s (M.Sc.) degree in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.
Job responsibilities
  • AI/ML Pipeline & Development Support: Assist with the development, testing, and documentation of data-processing pipelines and machine learning components optimized for vehicle datasets.
  • Data Cleaning & Exploratory Analysis: Help inspect, clean, and structure text-based diagnostic logs and numerical telemetry streams (such as bus logs and sensor measurements) for analysis.
  • Model Testing & Prototyping: Support the implementation and testing of baseline analytical models (including time-series classification, clustering, or prompt engineering for basic NLP/LLM assistants).
  • UI Prototyping & Coding: Write clean, readable, and well-documented Python code. Assist in building simple web interfaces or APIs to help package these analytical tools.
  • Technical Collaboration & Learning: Actively participate in team syncs, gather engineering requirements under guidance, and learn the fundamentals of vehicle software systems from domain experts.
What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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