Machine Learning Scientist Jobs in Michigan

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.

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