Data Scientist Jobs in Michigan
Data Scientist jobs in Michigan are open across Ann Arbor, Auburn Hills, and Detroit and other Michigan metros, with employers like May Mobility, Stellantis, and Thomson Reuters hiring at every experience level. Find a role that fits below and apply directly.
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Job ID: 2019050
Career Area: ICT, Digital and Data
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: June 17, 2026
Brand: FCA Group
ABOUT THE ROLE:
We are looking for a Senior Staff Data Scientist (ML/AI) to serve as a technical leader, architect, and individual contributor within the Machine Learning & AI Engineering team at Stellantis.
This role sits at the intersection of machine learning, advanced analytics, experimentation, and large-scale vehicle/IoT data systems. You will define and influence how ML and AI are used across vehicle quality, engineering systems, and customer experience outcomes.
This is a high-impact, senior IC role (Staff/Principal level influence) responsible for shaping technical strategy, designing scalable ML systems, and driving measurable business outcomes such as quality improvement, warranty reduction, and customer experience enhancement.
WHAT YOU WILL DO:
Technical Leadership & ML Strategy (Staff-Level Ownership)
- Define and evolve the ML/AI architecture and framework supporting quality, engineering, and vehicle analytics across the organization
- Set technical direction for:
- Machine learning systems
- Experimentation platforms
- Data science architecture
- Act as a trusted technical advisor to senior leadership on:
- Model feasibility
- Trade-offs (accuracy, scalability, cost, interpretability)
- Business impact of ML/AI initiatives
- Influence roadmap decisions across engineering and product organizations
Advanced Machine Learning & Statistical Modeling
- Develop and deploy predictive, prescriptive, and causal models using:
- Vehicle data
- IoT sensor data
- Enterprise datasets
- Apply advanced techniques including:
- Statistical modeling
- Machine learning algorithms
- Deep learning / neural networks
- Lead root cause analysis for vehicle quality, performance, and system failures
- Design and build LLM-based systems and agentic AI solutions for engineering and quality use cases
Data Science Platform & Scalable Systems
- Architect and guide development of large-scale distributed data and ML systems
- Build and scale analytics pipelines using Spark-based distributed processing frameworks
- Lead ML model lifecycle management, including:
- Training
- Validation
- Deployment
- Monitoring in production
- Ensure models and systems are:
- Explainable
- Reliable
- Production-ready
- Compliant with automotive/regulatory standards
Experimentation & Product Impact
- Own and evolve the experimentation framework/platform for safe, scalable testing of vehicle and software features
- Design statistically sound experiments (A/B tests and beyond)
- Translate experimental results into clear product and engineering decisions
- Drive measurable business outcomes including:
- Warranty cost reduction
- Improved product quality
- Enhanced customer experience
- Revenue-impacting insights
Influence, Mentorship & Knowledge Sharing
- Mentor senior and mid-level data scientists, raising technical standards across the team
- Help teams with:
- Problem formulation
- Research design
- Statistical interpretation
- Contribute to internal knowledge systems and external-facing technical content (e.g., blogs or papers)
- Serve as a cross-functional leader bridging engineering, product, and executive teams
WHAT SUCCESS LOOKS LIKE (TOP PERFORMERS)
Strong candidates will demonstrate:
- Proven impact from deployed ML systems or production analytics products
- Quantifiable improvements in:
- Vehicle quality
- Warranty reduction
- Customer experience metrics
- Ability to influence technical strategy beyond their immediate team
- Strong communication skills with executive and non-technical stakeholders
Demonstrated ability to turn complex analysis into business decisions and outcomes
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
See All 26 Data Scientist Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
Find Data Scientist JobsData Scientist Jobs by City in Michigan
Where Michigan roles are concentrated, by current openings.
Data Scientist Job Market in Michigan
A snapshot from current Michigan openings, updated as new roles post.
Who's Hiring
- May Mobility3

- Stellantis3

- Thomson Reuters3

- Exponent2

- GHD2

Top Industries Hiring
- Automotive10
- Consulting & Professional Services9
- Technology & Software5
- Artificial Intelligence3
- Transportation & Logistics3
What Michigan Employers Look For
The qualifications that appear most often in data scientist jobs across Michigan.
- Proficiency in Python and SQL for data manipulation and analysis
- Experience building and deploying machine learning models in production
- Bachelor's or master's degree in statistics, computer science, or a related quantitative field
- Familiarity with cloud platforms such as AWS, GCP, or Azure
- Ability to communicate findings clearly to non-technical stakeholders
- Experience with data visualization tools such as Tableau, Power BI, or Matplotlib
Data Scientist Jobs in Michigan: Frequently Asked Questions
How many data scientist jobs are there in Michigan?
There are 26+ data scientist openings in Michigan on Migrate Mate as of June 2026, with the most roles in Ann Arbor, Auburn Hills, and Detroit. New positions post regularly as employers across Michigan hire.
How much do data scientists make in Michigan?
Data scientists in Michigan earn a median of about $100,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,830 for the lowest 10% to over $162,670 for the top 10%. Pay rises with experience, specialty, and employer.
Which Michigan cities have the most data scientist jobs?
Ann Arbor, Auburn Hills, and Detroit have the most data scientist openings in Michigan right now, with additional roles spread across smaller metros statewide.
Which companies hire data scientists in Michigan?
Employers hiring data scientists in Michigan include May Mobility, Stellantis, and Thomson Reuters, based on current listings on Migrate Mate as of June 2026.
Are there remote data scientist jobs in Michigan?
Yes. About 42% of data scientist openings tied to Michigan are remote or hybrid as of June 2026. The rest are on-site roles based in Michigan metros.
How do I apply for data scientist jobs in Michigan?
You can apply to data scientist jobs in Michigan directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Michigan location, then apply to each one that fits.
See All 26 Data Scientist Jobs in Michigan
Find roles in Michigan that match your experience and apply in just a few clicks.
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