Data Scientist - Supply Chain

We’re building an AI-enabled supply chain that predicts, prescribes, and acts. As a Supply Chain Data Scientist, you’ll develop predictive, prescriptive, optimization, anomaly detection, and simulation models that improve cost, service, and resilience across planning, logistics, and operations.

You will partner with data engineering, AI engineering, and business stakeholders to translate problems into deployable solutions-delivering decision signals that are embedded into operational workflows, planning systems, and agentic experiences.

Responsibilities Include But Not Limited To

• Build predictive models for key supply chain processes using statistical, machine learning, and deep learning techniques
• Develop prescriptive analytics and optimization models to recommend optimal actions under real-world constraints
• Quantify tradeoffs between cost, service, capacity, and risk
• Detect variability, disruptions, and anomalies across supply chain operations
• Build simulations and scenario models to support strategic and operational decisions
• Partner with stakeholders to translate business problems into data science solutions
• Enable AI and agentic workflows by producing high-quality predictive and prescriptive signals
• Merge and analyze large, complex datasets to discover trends, patterns, and actionable insights

Basic Qualifications

• Master’s degree in data science, statistics, computer science or related field
• 8+ years of professional experience, including 2+ years in supply chain analytics (planning, forecasting, logistics, manufacturing, or operations)
• Strong proficiency in Python and SQL
• Proven experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation techniques (Monte Carlo, discrete event)
• Knowledge of advanced statistical techniques and concepts (regression, distributions, statistical tests)
• Familiarity with a variety of machine learning techniques (clustering, decision trees, neural networks) and their real-world advantages and limitations
• Experience with data manipulation libraries such as pandas and NumPy
• Experience with ML frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
• Knowledge of big data frameworks and platforms such as Spark, Databricks, or Snowflake

Preferred Qualifications

• PhD
• Experience with supply chain planning, forecasting, or logistics datasets
• Experience with Databricks, Spark, Snowflake or Palantir Foundry & AIP
• Experience with MLOps practices (model monitoring, CI/CD for ML)

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

• An employer match on contributions to your 401k, Roth, and Catch-Up plans
• An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

• Tuition reimbursement
• Student loan refinancing programs
• 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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.

EOE / Disability / Veteran