Senior Data Scientist - Supply Chain
Role summary
We are seeking a Senior Data Scientist to join our AI-enabled supply chain team. In this role, you will architect and deliver advanced analytical solutions, focusing on predictive, prescriptive, optimization, anomaly detection, and simulation models. You will translate complex business problems into structured analytical approaches, identify risks and anomalies, and build simulation environments for strategic decision-making. A key aspect of this role involves ensuring analytical outputs are integrated into operational systems and AI agents. You will also mentor junior data scientists and drive best practices in data science methodologies. This position requires a blend of strategic thinking and technical expertise to improve cost, service, and resilience within the supply chain.
Job ID: 2016874
Career Area: Supply Chain
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills
48326, US
Date Posted: April 16, 2026
Brand: FCA Group
We are building an AI-enabled supply chain that senses, predicts, prescribes, and acts. As a Senior Data Scientist, you will architect and deliver advanced analytical solutions that shape how the Supply Chain organization makes decisions. You will lead the development of predictive, prescriptive, optimization, anomaly detection, and simulation models – and ensure they are embedded into real workflows, systems, and AI agents.
This role is ideal for someone who can operate at both the strategic and technical levels: designing decision frameworks, influencing cross-functional partners, and building models that materially improve cost, service, and resilience.
Responsibilities include but not limited to:
- Lead the design and development of predictive, prescriptive, and simulation models that support enterprise-level supply chain decisions
- Architect optimization frameworks that balance cost, service, capacity, and risk under real-world constraints
- Translate ambiguous business problems into structured analytical approaches and decision models
- Identify and quantify systemic risks, variability, and anomalies across supply chain operations
- Build scenario and simulation environments that enable leadership to evaluate strategic tradeoffs and “what-if” conditions
- Partner with senior stakeholders to define requirements and influence decision‑making
- Ensure analytical outputs are integrated into AI agents, planning systems, and operational workflows
- Mentor other data scientists and elevate analytical standards across the team
- Drive best practices in data quality, feature engineering, model governance, and performance monitoring
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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