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Sr Staff Data Scientist

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Stellantis

Auburn Hills, MI (In Person)

Full-Time

Posted 3 days ago (Updated 1 day ago) • Actively hiring

Expires 6/11/2026

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Job Description

Job description Your Mission The Machine Learning & AI Engineering Team is looking for a Sr Staff Data Scientist to act as a technical thought leader and architect across quality, engineering, and vehicle data domains. This role owns the design, evolution, and application of advanced ML, AI, and experimentation systems that directly influence product quality, customer experience, and measurable business outcomes. This is a senior individual contributor role with enterprise-wide influence, expected to shape strategy, mentor others, and partner closely with engineering, product, and leadership Technical Leadership & Strategy Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities: Being the trusted expert who own and evolve the ML & AI framework supporting quality and engineering products across the organization. Set technical direction for modeling, experimentation, and data architecture aligned to business and product strategy Serve as a trusted advisor to senior stakeholders on ML/AI feasibility, tradeoffs, and impact Advanced Analytics & Modeling Lead development of predictive, prescriptive, and causal models using vehicle, IoT, and enterprise data. advanced statistical, ML, and deep learning techniques to root cause analysis, quality improvement, and feature optimization. Design and refine LLM-based and agentic systems for engineering and quality applications. Data & Platform Architecture Architect and guide implementation of scalable data pipelines and distributed analytics systems (Spark-based). Lead model lifecycle management, validation, and performance governance in production environments. Ensure solutions are robust, explainable, and suitable for regulated automotive contexts. Experimentation & Product Impact Lead the experimentation platform and methodology, enabling safe, agile testing of software and vehicle features. Translate experimental results into actionable product and engineering decisions. Drive measurable outcomes in revenue, warranty cost reduction, and customer experience. Knowledge Sharing & Influence Democratize learning through contributions to a centralized internal knowledge base and external technical blog. Mentor senior and mid-level data scientists; raise the overall technical bar of the organization. Educate partners on problem formulation, research design, and interpretation of results. Top Performers Will Be Able To Demonstrate Demonstrated business impact through deployed models or analytics-driven products. Measurable improvements in quality, warranty cost, or customer experience. Clear influence on technical direction beyond immediate project scope. Effective communication and alignment with non-technical and executive stakeholders. Measurable consumer experience impact through analysis, statistical models or products built. Your Platform A truly global company, we have headquarters in Amsterdam, Paris, Turin, and Auburn Hills. We also have technology hubs on the east and west coast of the United States, in South America and India. These locations are the nerve center of our company, where the best ideas combine with unrivalled rigor to create the biggest and best automotive experiences in the world. Our World Great mobility solutions start with great people! This is an exciting time to join us! Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate. In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today. The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and our people live and work. Required Qualifications Master or PhD Degree required with technical focus (e.g. Data science, Statistics, CS, Physics, Engineering, etc.) 8+ years of total experience in data-oriented advanced analytics/ machine learning 5+ years of intensive experience on Databricks, Palantir, Snowflake or AWS SageMaker. Expert-level proficiency in Python (or R) and SQL for feature engineering and modeling. Deep knowledge of statistical methods, ML algorithms, and neural network-based systems. Experience designing solutions on distributed data processing platforms (Spark). Preferred Qualifications Expertise in LLM fine-tuning, agentic systems, or ML systems for engineering use cases QA Knowledge for vehicle, propulsion and battery components 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 Keywords employee-data machine-learning artificial-intelligence thought-leadership planning-and-design visual-art-design product-development-and-design customer-experience-and-engagement business-outcomes mentoring environment-health-and-safety-hsse ecology-environment data-architecture product-strategy advanced-analytics analytics data-analytics training-and-development internet-of-things-iot aws-iot at-t-internet-of-things deep-learning testing-and-analysis root-cause-analysis-rca large-language-model-llm data-pipeline spark model-management agile-testing warranty operational-cost-reduction cost-savings centralize-vs-de-centralize knowledge-base clubs-organizations effective-communication time-and-attendance data-science azure-databricks databricks palantir snowflake amazon-web-services amazon-sagemaker python r sql feature-engineering statistical-analysis neural-networks data-processing fine-tuning vehicle-modification-tuning use-case quality-assurance prescription-drug-coverage employee-assistance counseling-employee-assistance-programs-eaps dating-personals paid-time-off retirement-savings-401-k 401k sep-ira-401k income-protection-insurance life-insurance company-car tuition-assistance student-loans refinancing

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