Data Scientist

Michelin • Woodburn, IN

20d • Onsite

About The Position

Michelin has an immediate opening for a Data Scientist at its BF Goodrich tire plant in Woodburn, Indiana. The plant makes passenger and light truck tires. The Data Scientist manages and analyzes disparate datasets to address business questions, support decision-making, and improve business capabilities. Entry-level training is provided through formal classes and on-the-job mentoring with an expert area guide.

The role works with customers in areas such as R&D, Manufacturing, and Marketing to understand their needs; identify relevant and missing data; consolidate selected data; and build and analyze models, including predictive models. The Data Scientist presents model results, performance, and limitations so customers can use the results or improve them as additional data becomes available. The position also involves automating the machine-learning industrialization workflow and working with data and platform engineers to move AI models into production.

Requirements

• Bachelor’s degree in Data Science.
• Analytical skills to identify problems, research strategies, and recommend effective solutions.
• Creativity in developing new ways of thinking and innovative solutions.
• Programming skills for developing algorithms and applications; technologies named include Python, R, Java, Hadoop/Spark, Tableau/Power BI, and SQL.
• Math and statistics skills for analyzing and modeling data.
• Data visualization skills to represent data and present it to stakeholders.
• Machine-learning skills to create systems that learn from patterns.
• Data-mining skills to turn raw data into useful information.
• Demonstrated experience leading a team or project group, including setting goals, delegating, providing feedback or coaching, leading by example, and fostering a positive work environment.
• Ability to influence and negotiate with others verbally and in writing.
• Ability to set and achieve goals with minimal supervision.
• Interpersonal skills, including empathy, professional dispute resolution, appreciation, and active listening.
• Ability to develop and implement project plans that meet or exceed expectations.

Nice To Haves

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

Responsibilities

• Manage the collection, storage, and interpretation of business data.
• Analyze data, organize and compare findings with current company processes, and prepare reports outlining 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 challenges.
• Understand customer needs across areas such as R&D, Manufacturing, and Marketing.
• Determine which available data is relevant and identify missing data to acquire.
• Consolidate or aggregate selected data.
• Build and analyze models, including predictive models.
• Present model results, performance, and limitations so customers can use the results or update them with future data.
• Build and automate all steps of the machine-learning industrialization workflow.
• Work closely with data and platform engineers to promote AI models into production.
• Lead teams or project groups, set goals, delegate tasks, provide feedback and coaching, and foster a positive work environment.
• Develop and implement project plans that meet or exceed expectations.

Benefits

• Personalized development plans, mentorship, and cross-functional opportunities.
• Career paths and opportunities for advancement.
• Diverse and supportive work environment where competencies, contributions, and behaviors are recognized.
• Option to join a Connected Community.
• Opportunity to work on projects involving sustainable materials and digital transformation.

What This Job Offers

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