Statistician and Data Scientist (entry/experienced level professional)

Statistician and Data Scientist (entry/experienced level professional)

Michelin is hiring!

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THIS OPEN POSITION IS LOCATED ONLY AT THE FOLLOWING LOCATIONS: Greenville MARC

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 looking for a top candidate with a passion for statistics and data analytics to be a part of our Research & Development team.

The opportunity

Michelin is recruiting a Statistician & Data Scientist to work on projects in various fields such as industrial processes and tire performance models as a member of our R&D community. You will join a team dedicated to digital methods developing advanced simulation tools for multiple applications, working with researchers and developers helping various manufacturing scopes. These tools and solutions are based on statistics, numerical modeling, high-performance computing, hybridization and data science. Your mission includes working with scientists and engineers, crafting statistical and data (AI) based approaches to support our research & industrial initiatives.

Situated in Greenville, South Carolina, the sprawling Michelin Americas Research Center (MARC) campus is home to approximately 650 talented employees, including materials researchers, product designers, scientists, engineers, test technicians and individuals in a variety of support roles.

Our team contributes to designing, testing, and industrializing the innovative products that earn Michelin’s deserving place as one of the world’s leading tire manufacturers.

Greenville, SC is 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.

What you will do

Development and application of statistical best practices and tools (Measurement Systems Analysis, Repeatability and Reproducibility of laboratory measurements, Design of Experiments for product development and testing teams)

Development of hybrid methods: Identify and develop approaches combining classical numerical modeling (finite elements, etc.) and machine learning (model reduction, predictive models) to optimize the performance of simulations and predictions.

Sophisticated Optimization: Investigate, adapt, and implement standard and advanced optimization methods, including global, multi-objective, and robust optimization, in uncertain contexts.

Creation and implementation of tools to resolve technical problems and provide technical support for existing statistical tools and methods.: (e.g. prototype and industrialize digital tools and data analysis methods using Python or similar).

Maintenance and continuous improvement: Ensure the support, maintenance, evolution and modernization of existing tools, integrating CI/CD practices (Git, Gitlab). Ensure documentation and testing. Transmit knowledge (reports, training, etc.)

Scientific monitoring: Monitor advances in the fields of artificial intelligence, numerical methods, optimization, hybridization and ML to maintain the technological excellence of the tools developed. Supporting partnerships with academic actors (internships, theses and research projects)

What you will bring

Technical knowledge:

• In-depth understanding and proficiency in statistical methods and applications.
• Knowledge of AI, Optimization, and Machine Learning techniques and a willingness to learn and apply more.
• Proficiency in Python languages or willingness to learn. C/C++ desirable.
• Knowledge of hybridization (finite elements coupled with data science models, for example).
• The ability to capture needs from partners and propose solutions.

Additional requirements:

• Bachelor of Science degree in Engineering, Physics, Statistics, or Applied Mathematics required along with a proven desire for working in an applied mathematics role.
• Previous experience as a data scientist in an industrial environment is a plus

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Inspire Motion for Life: Apply Today!

As the leading mobility company, we work with tires, around tires and beyond tires to enable Motion for Life. Dedicated to enhancing our clients’ mobility and sustainability, Michelin designs and distributes the most suitable tires, services and solutions for our customers’ needs. Michelin provides digital services, maps and guides to help enrich trips and travels and make them unique experiences. Bringing our expertise to new markets, we invest in high-technology materials, 3D printing and hydrogen, to serve a wide a variety of industries—from aerospace to biotech. Headquartered in Greenville, South Carolina, Michelin North America has approximately 23,000 employees and operates 34 production facilities in the United States and Canada.

MICHELIN® tires have been ranked the #1 Tire Brand across major categories and segments by industry experts and consumers alike. For nearly three decades we’ve been recognized for our achievements in Customer Satisfaction, Performance, Durability, Technology and Innovation.

Michelin cares for the personal and professional development of its employees. We support career advancement through various options, which include: skill and career development, training, career exploration and work with cross-functional teams. We offer the possibility of a varied and fulfilling career path in an environment where unique contributions are valued.

Michelin offers 10 Business Resource Groups (BRGs) which are all-inclusive groups created and led by employees who have shared life experiences across various diversity dimensions. Each group supports business strategies and initiatives along with meeting the needs of members. The goal of each group is to help employees feel welcome and included, support employee engagement and encourage professional development. BRGs also provide cross-cultural support, career management resources and opportunities for community involvement.

Michelin provides equal employment opportunities to all employees and applicants for employment 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 (including family medical history), 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.

Get in the driver’s seat and be on your way to a meaningful professional journey!