Data Scientist

at  Michelin

Data Scientist
Michelin is hiring!

Michelin has an immediate opening for a Data Scientist who will manage and analyze across disparate datasets to address business questions. Michelin’s purpose is to support everyone is right to move freely to find their better way forward. Our continuous improvement stimulates innovation and allows us to manufacture locally, which in turn, strengthens the local communities. Entry level training is provided by Michelin and will include formal classes and on -the-job mentoring under an expert area guide. If respect for people, teamwork and trust are some values you live by you should consider joining us, the Worldwide leader in Tires!
THIS OPEN POSITION IS LOCATED ONLY AT THE FOLLOWING LOCATIONS: BFG4 Fort Wayne Facility

• Data Management, overseeing the collection, storage, and interpretation of data for our business.
• Analysis & Reporting, sifting through data points to create organized categories, comparing them to current company processes, and writing reports to outline business predictions or proposals.
• Problem-Solving, using data to help the company make decisions, finding patterns and solutions to improve our capabilities, and develop investment strategies.
• Technical Skills, utilizing statistical analysis, machine learning, and programming skills to e Find new ways to collect and analyze data, to find long-term challenges for the company.
• Understanding customer needs (level=easy or medium) form RDI, Manufacturing, Marketing, etc.
• Determining the relevant data among those available and identifying the missing data to acquire
• Consolidating/Aggregating the finally selected data.
• Analyzing and building the models, including predictive models
• Presenting in detail the results and/or the model (performances and limits) so that the final customer can use it or upgrade the results with the future available data.
• Building and automating all steps of Machine Learning industrialization workflow
• Promoting the AI models to production by working closely with data and platform engineers.