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Sr. Staff Data Scientist – Machine Learning & AI (Quality, Vehicle & Engineering Analytics)

Stellantis · Detroit, US

Job description

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.

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