Senior Data Scientist / Agentic AI (experienced level professional)

Michelin • Greenville, SC

1d • Onsite

About The Position

Senior Data Scientist / Agentic AI (experienced level professional) Build a Career That Matters with One of the World’s Most Respected Employers! - - - - - - - - - - - - THIS OPEN POSITION IS LOCATED ONLY AT THE FOLLOWING LOCATIONS: Michelin North America HQ THE “ADDITIONAL LOCATIONS” SHOWN AT THE RIGHT INDICATE WHERE THIS JOB POSTING IS VISIBLE, NOT WHERE THE POSITION IS LOCATED Michelin is hiring! We are seeking a Senior Data Scientist to develop reliable, interpretable, and steerable AI systems to become a key player in our IT Business Intelligence & Analytics team. 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. This position is based at our headquarters in Greenville, SC, conveniently located within driving distance to east coast beaches, the Blue Ridge Mountains and large cities like Atlanta and Charlotte. The mild climate, charming downtown, and impressive culinary scene are just a few of the perks of living here.

Requirements

• 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 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).
• Bachelor’s but preferable Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.

Nice To Haves

• Proven expertise in problem-solving with complex datasets.
• Ability communicating 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 analysts3

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

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities.
• Unique career paths and opportunities for advancement.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level