The Data Scientist – AI Execution is responsible for designing, building, and iterating AI and machine‑learning solutions that power Purchasing data products and automation use cases.
Working within Product Owner–led teams, this role enables data‑driven decisioning and intelligent automation while operating within established governance, process, and delivery frameworks.
The role ensures that AI capabilities are robust, explainable, and scalable, without fragmenting product ownership or duplicating governance and delivery responsibilities.
Key Accountabilities include but not limited to:
- Design and implement AI/ML models aligned to Purchasing use cases (e.g., recommendations, scoring, prediction, classification)
- Partner with Product Owners to translate business needs into executable model logic and expected outcomes
- Collaborate with Data Engineers to ensure models are production‑ready, scalable, and performant
- Work closely with Data Analysts, Front‑End Developers, and UI/UX roles to integrate AI outputs into user‑facing experiences, including dashboards, chatbots, and AI‑assisted workflows
- Support multiple AI interaction patterns, including embedded intelligence, conversational interfaces, and emerging agentic and agent‑to‑agent solutions
- Validate model outcomes, explainability, and performance, supporting responsible AI practices
- Contribute to AI reuse, standardization, and patterns across Purchasing initiatives
Basic Qualifications:
- Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or equivalent; Other technical degrees with business background also considered
- 10+ years of experience in the automotive industry or IT.
- Strong English verbal and written communication skills
- Ability to manage multiple services or initiatives with varying complexity
- Proficiency with Microsoft PowerPoint, Excel, and Word
- Ability to work effectively across global teams and organizational levels
- Proven ability to lead cross-functional teams and drive purchasing strategies in a fast-paced environment
- Strong negotiation, analytical, and problem-solving skills
- Highly proactive and visionary, with a track record of driving innovation and continuous improvement
- Ability to communicate effectively with international teams and suppliers
Skills Required
- Bachelor's degree in Business, Supply Chain, Finance, Engineering or related field (or equivalent)
- 10+ years of experience in the automotive industry or IT
- Experience designing and implementing AI/ML models for recommendations, scoring, prediction, and classification
- Experience productionizing models and collaborating with Data Engineers to ensure scalability and performance
- Familiarity with explainability, model validation, and responsible AI practices
- Proficiency with Microsoft PowerPoint, Excel, and Word
- Strong English verbal and written communication skills
- Ability to lead cross-functional teams and manage multiple initiatives
- Strong negotiation, analytical, and problem-solving skills
- Ability to work effectively across global teams and with international suppliers
- Experience integrating AI outputs into user-facing experiences (dashboards, chatbots, conversational interfaces, agentic solutions)
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.
