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
Basic Qualifications:
- Master’s degree in data science, statistics, computer science or related field
- 8+ years of professional experience, including 5+ years in supply chain analytics, optimization, or simulation
- Proven ability to operate independently, lead analytical workstreams end-to-end, and influence decisions with minimal oversight
- Strong proficiency in Python and SQL, with the ability to design scalable analytical pipelines
- Deep experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation methods (Monte Carlo, discrete event)
- Strong understanding of supply chain processes and the analytical levers that influence cost, service, and resilience
- Experience designing decision frameworks and translating them into optimization or prescriptive models
- Familiarity with machine learning techniques (clustering, tree-based models, neural networks) and their practical tradeoffs
- Experience with data manipulation libraries (pandas, NumPy) and ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow)
- Experience with big data platforms such as Spark, Databricks, or Snowflake
- Ability to communicate complex analytical concepts to senior leaders in clear, business-focused language
- Experience mentoring or leading technical contributors is a plus
Preferred Qualifications:
- PhD
- Experience designing optimization or simulation models for supply chain decisions
- Background in stochastic modeling, network optimization, or discrete-event simulation
- Experience embedding predictive or prescriptive models into operational systems
- Strong executive communication skills and experience influencing senior stakeholders
Skills Required
- Master's degree in data science or related field
- 8+ years of professional experience
- 5+ years in supply chain analytics, optimization, or simulation
- Proficiency in Python and SQL
- Experience with predictive modeling and optimization techniques
- Understanding of supply chain processes
- Experience with data manipulation libraries and ML frameworks
- PhD
- Experience designing optimization models for supply chain decisions
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
-
Pay Growth & Progression — Contract-driven increases lifted hourly wages roughly 25% over 4.5 years and restored cost-of-living adjustments, pushing top rates near $42 per hour by the end of the agreement. Union hourly positions appear to have benefited most since the 2023 deal.
-
Affordable Benefits — UAW-represented hourly workers pay no premiums and about 3% of total healthcare costs while receiving comprehensive medical, dental, vision, and wellness coverage. This creates materially lower out-of-pocket costs for represented hourly roles.
-
Retirement Support — Post-2007 hourly hires receive a 10% employer 401(k) contribution and legacy workers saw defined-benefit improvements with retiree bonuses. Salaried roles also cite a 401(k) with employer match and contribution up to a maximum of 8%.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
