Senior Data Scientist / Agentic AI (experienced level professional)
Michelin
About the role
Senior Data Scientist / Agentic AI (experienced level professional)
About the Role
Michelin is hiring! We are seeking a Senior Data Scientist to develop reliable, interpretable, and steerable AI systems as a key player in our IT Business Intelligence & Analytics team.
Location: Michelin North America HQ – Greenville, SC (driving distance to east‑coast beaches, the Blue Ridge Mountains, Atlanta, and Charlotte).
Note: The “additional locations” shown on the right indicate where this posting is visible, not where the position is located.
Overview
As a Senior Data Scientist, you will drive AI initiatives, using advanced analytics, machine learning, and data‑driven insights to enhance operational efficiency and improve decision‑making. You will support the deployment of AI solutions across the organization, collaborate with multi‑functional teams, and mentor junior data scientists to uphold Michelin’s commitment to innovation and excellence.
What You Will Do
- Develop and implement machine learning models and algorithms.
- Partner with diverse functional groups to identify business needs and translate them into data‑driven solutions.
- Analyze large datasets to extract actionable insights and support decision‑making.
- Design and conduct experiments to validate model performance and improve operational processes.
- Monitor and maintain AI models in production, ensuring they operate effectively and efficiently.
- Mentor junior data scientists and contribute to the development of standard processes in data science and AI Ops.
What You Will Bring
- Analytical mind and business savvy combined with problem‑solving competence and communication skills.
- 5+ years of experience in data science, with a focus on AI and machine learning applications.
- Demonstrated ability in programming languages such as Python & PySpark, and data manipulation libraries (e.g., Pandas, NumPy).
- Previous experience with machine learning frameworks (e.g., Scikit‑learn), data visualization tools and frameworks (e.g., PowerBI, Streamlit), and generative AI technologies (e.g., LLM, chatbot).
- Experience building autonomous AI agents using frameworks (i.e., LangChain, LangGraph, MCP) to support reasoning and decision‑making.
- Over 5 years working with cloud platforms (e.g., Azure), big data technologies (e.g., Spark), and enabling tools (Kubernetes).
- Bachelor’s degree (preferably Master’s or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.
Preferred Qualifications
- Proven expertise in problem‑solving with complex datasets.
- Ability to communicate technical concepts to non‑technical partners.
- Examples of successful project management and collaboration in team‑oriented environments.
- Previous experience mentoring and developing junior data scientists and analysts.
Why Michelin?
- Career Growth: Personalized development plans, mentorship, and cross‑functional opportunities. Unique career paths and advancement prospects.
- Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions, and behaviors are recognized. Option to join one of our Connected Communities.
- Innovation‑Driven: Work on projects that matter—from sustainable materials to digital transformation.
- Community Impact: Be part of a company that does what’s right. We use sustainable business practices while balancing the needs of our customers and communities.
About Michelin
Michelin is building a world‑leading manufacturer of life‑changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on deep know‑how in polymer composite materials, Michelin constantly innovates to manufacture high‑quality tires and components for critical applications in mobility, construction, aeronautics, low‑carbon energies, and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences—from data‑ and AI‑based connected solutions for professional fleets to outstanding restaurant and hotel recommendations curated by the MICHELIN Guide.
Equal Opportunity & Accommodations
Michelin provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, political affiliation, military service, or other non‑merit‑based factors.
Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at accommodations@michelin.com.
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!
#LI‑hiringmichelin
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Requirements
- Analytical mind and business savvy combined with problem-solving competence and communication skills.
- Demonstrated ability in programming languages such as Python & PySpark, and data manipulation libraries (e.g., Pandas, NumPy).
- Previous experience with machine learning frameworks (e.g., Scikit-learn), data visualization tools and framework (e.g. PowerBI, Steamlit), and generative AI technologies (e.g. LLM, chatbot)
- Experience building autonomous AI agents using frameworks (i.e. LangChain, LangGraph, MCP) to support reasoning and decision-making.
- Over 5 years working with cloud platforms (e.g., Azure), big data technologies (e.g., Spark), and enabling tools (Kubernetes).
Responsibilities
- Develop and implement machine learning models and algorithms.
- Partner with diverse functional groups to identify business needs and translate them into data-driven solutions.
- Analyze large datasets to extract actionable insights and support decision-making.
- Design and conduct experiments to validate model performance and improve operational processes.
- Monitor and maintain AI models in production, ensuring they operate effectively and efficiently.
- Mentor junior data scientists and contribute to the development of standard processes in data science and AI Ops.
Benefits
Skills
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