Data Scientist AI Execution

Stellantis

Auburn Hills (MI)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Stellantis is looking for a Data Scientist – AI Execution to design and build AI and machine learning solutions, focusing on Purchasing data products and automation. The ideal candidate will work within Product Owner-led teams, driving data-driven decisions and ensuring robust AI capabilities.

With a Bachelor’s degree and over 10 years of relevant experience, strong communication and leadership skills are critical. The company values diversity and welcomes applications from all backgrounds.

Qualifications

  • 10+ years of experience in the automotive industry or IT.
  • Ability to manage multiple services or initiatives with varying complexity.
  • Proven ability to lead cross-functional teams.

Responsibilities

  • Design and implement AI/ML models aligned to Purchasing use cases.
  • Collaborate with Data Engineers for production-ready models.
  • Validate model outcomes, explainability and performance.

Skills

AI/ML model design and implementation
Cross-functional leadership
Strong communication skills
Analytical and problem-solving skills
Negotiation skills
Proficiency with Microsoft PowerPoint, Excel, Word

Education

Bachelor of Science degree in relevant fields

Job description

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
  • 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

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.

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