Senior Data Scientist Supply Chain

< Back to Search Results Senior Data Scientist -

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 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=5001190719406&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 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

Qualifications 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 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