Data Scientist Supply Chain

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Supply Chain Job ID:

2016875

Career Area:

Supply Chain Position Type:

Salaried Location:

Headquarters & Technology Center - Auburn Hills 48326 ,

US Date Posted:

April 16, 2026

Brand:

FCA Group Apply Refer A Friend Share this job Share on Facebook Share on Twitter Share on Linkedin Share by Mail https://recruiting.adp.com/srccar/public/RTI.home?r=5001190720106&c=2183219&d=ExternalCareerSite&rb=??? You are being redirected Once you are on the page, please click the refer button Job Overview Qualifications Benefits Job Overview 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

Qualifications 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) Benefits Salaried Employee Benefits (US, Non-Represented) Health & Wellbeing Comprehensive coverages encompassing the Physical, Mental, Emotional, and overall Wellbeing of our employees, including short- and long-term disability. Compensation, Savings, and Retirement Annual Incentive Plan (SAIP), 401k with Employer Match & Contribution (max 8%), SoFi Student Loan Refinancing. Time Away from Work Paid time includes company holidays, vacation, and Float/Wellbeing Days. Family Benefits 12 Weeks paid Parental Leave, Domestic Partner Benefits, Family Building Benefit, Marketplace, Life/Disability and other Insurances. Professional Growth Annual training, tuition reimbursement and discounts, Business Resource & Intra-professional Groups. Company Car & More Comprehensive Company Car Program and Vehicle Discounts. Vehicle discounts include family and friends. 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. Apply Join our Talent Community Create a talent profile to receive relevant job alerts and the latest company news! If you're a U.S. Veteran, please sign up through our Veterans Recruiting Program page. Create a Talent Profile Sign into your profile