Data Scientist

Michelin • Woodburn, IN

8d • Onsite

About The Position

Michelin is hiring a Data Scientist at its BF Goodrich tire plant in Woodburn, Indiana, which manufactures passenger and light truck tires. The role manages and analyzes disparate datasets to address business questions and support decision-making across areas such as RDI, manufacturing, and marketing. Entry-level training is provided through formal classes and on-the-job mentoring under an expert area guide.

The Data Scientist determines customer needs, selects and consolidates relevant data, identifies missing data, and builds analyses and predictive models. The role presents model results, performance, and limitations so customers can use the results or improve them with future data. It also builds and automates machine-learning industrialization workflows and promotes AI models to production in collaboration with data and platform engineers.

Requirements

• Bachelor’s degree in Data Science.
• Analytical skills to identify problems, research strategies, and recommend effective solutions.
• Creativity in pursuing new ways of thinking and designing innovative solutions.
• Programming skills, including experience with languages or tools such as Python, R, Java, Hadoop/Spark, Tableau/Power BI, and SQL.
• Math and statistics skills for analyzing and modeling data.
• Data visualization skills for representing data and presenting it to stakeholders.
• Machine-learning skills for creating artificial intelligence that learns from patterns.
• Data-mining skills to turn raw data into useful information.
• Demonstrated experience leading a team or project group.
• Ability to influence and negotiate with others verbally and in writing.
• Ability to set and achieve goals with minimal supervision.
• Good interpersonal skills, including empathy, professional dispute resolution, appreciation, and active listening.

Nice To Haves

• Master’s degree in Machine Learning or Big Data Analytics.

Responsibilities

• Oversee the collection, storage, and interpretation of business data.
• Analyze data, organize it into categories, compare findings with company processes, and prepare reports with business predictions or proposals.
• Use data to support company decisions, identify patterns and solutions, improve capabilities, and develop investment strategies.
• Apply statistical analysis, machine learning, and programming to collect and analyze data and identify long-term company challenges.
• Understand customer needs from functions such as RDI, manufacturing, and marketing.
• Determine which available data is relevant and identify missing data that should be acquired.
• Consolidate and aggregate selected data.
• Analyze data and build models, including predictive models.
• Present results and models in detail, including performance and limitations, so customers can use them or upgrade results with future data.
• Build and automate all steps of the machine-learning industrialization workflow.
• Promote AI models to production while working closely with data and platform engineers.
• Develop and implement project plans that meet or exceed expectations.
• Lead a team or project group by setting goals, delegating tasks, providing feedback and coaching, leading by example, and fostering a positive work environment.

Benefits

• Personalized development plans, mentorship, and cross-functional opportunities.
• Career paths and opportunities for advancement.
• A diverse, supportive environment where competencies, contributions, and behaviors are recognized.
• Option to join a Connected Community.
• Opportunity to work on projects related to sustainable materials and digital transformation.
• Opportunity to contribute to sustainable business practices and community impact.

What This Job Offers

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