Job description

Data Scientist Build a Career That Matters with One of the World’s Most Respected Employers! - - - - - - - - - - - - This opportunity is in Woodburn, Indiana in our BF Goodrich tire plant. Woodburn is a small town located about 30 minutes east of Fort Wayne, IN. Fort Wayne is the cultural and economic center of northeastern Indiana and the second largest city in Indiana. Established in 1961, our plant makes passenger and light truck tires. THE OPPORTUNITY 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! WHAT WILL YOU DO 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 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. WHAT WILL YOU BRING Analytical skills to identify problems, research strategies and recommend effective solutions. Creativity to pursue new ways of thinking and to design innovative solutions. Programming languages to develop algorithms and create applications, using languages like Python, R, Java, Hadoop/spark, Tableau/Power BI, and SQL Math and statistics to analyze and model data. Data visualization to help create models to represent data and present that data to interested stakeholders. Machine learning to create artificial intelligence that can learn based on patterns. Data mining, being able to turn raw data into useful information. Demonstrated experience in leading a team or project group by setting clear goals, delegating tasks effectively, providing regular feedback/coaching, leading by example, and fostering a positive work environment. Ability to influence and negotiate with others both I verbal and written forms. Ability to set and achieve goals with minimum supervision. Good interpersonal skills to show appreciation, use empathy to understand, resolve disputes professionally, and to practice active listening skills. Developed and implemented project plans that met or exceeded expectations. Bachelor’s Degree in Data science required. Master’s Degree in Machine learning or Big data analytics preferred . #LI-SB1 Ready to Shape the Future of Innovation? Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare. The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide. Why Michelin? 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. 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. We build the future with people like you. Begin your career with Michelin today!

Requirements

Must-haves

Data Scientist
Build a Career That Matters with One of the World’s Most Respected Employers!
- - - - - - - - - -
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 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.
Analytical skills to identify problems, research strategies and recommend effective solutions.
Creativity to pursue new ways of thinking and to design innovative solutions.
Programming languages to develop algorithms and create applications, using languages like Python, R, Java, Hadoop/spark, Tableau/Power BI, and SQL
Math and statistics to analyze and model data.
Data visualization to help create models to represent data and present that data to interested stakeholders.
Machine learning to create artificial intelligence that can learn based on patterns.
Data mining, being able to turn raw data into useful information.
Demonstrated experience in leading a team or project group by setting clear goals, delegating tasks effectively, providing regular feedback/coaching, leading by example, and fostering a positive work environment.
Ability to influence and negotiate with others both I verbal and written forms.

Nice-to-haves

Master’s Degree in Machine learning or Big data analytics preferred .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonjavasql

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

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