Michelin is hiring!
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What You'll Do :
Initial focus will be on automating forecasting and scenario simulation processes for Sales, Finance, and Commercial Support; future scope may extend to other CBS functions.
Identify further business problems across Purchasing, Finance, Logistics, Sales Administration, and Personnel that can be solved through statistics, machine learning, or AI.
Collect, clean, and prepare large structured and unstructured datasets; run exploratory data analysis to uncover patterns, trends, and business opportunities.
Develop, train, validate, and optimize machine learning models for predictive and prescriptive analytics.
Build and maintain data science solutions using Databricks and Azure ML Studio, collaborating with Data Engineers to prepare data, develop features, and industrialize analytical and machine learning use cases.
Deploy and monitor machine learning models in production, evaluating performance with appropriate statistical metrics and retraining as needed.
Communicate analytical findings and forecast outputs to technical and non-technical stakeholders, including Sales and Finance leadership, through clear visualizations and presentations.
Support AI-driven process automation by integrating predictive models into business workflows, working cross-functionally to keep solutions aligned with business goals.
Document models, assumptions, methodologies, and analytical processes according to company standards.
How You'll Work :
Stakeholder Communication
Translate complex business data into actionable insights and forecast recommendations for Sales, Finance, and commercial support teams.
Explain model and forecast performance, assumptions, and limitations clearly to both technical and non-technical audiences.
Model Governance & Data Quality
Build reliable, interpretable models, and monitor for concept drift or performance degradation as forecast cadence increases.
Ensure reproducibility through version control, documentation, and experiment tracking.
Apply company standards for data quality, security, privacy, and governance, validating data sources before model development.
Continuous Learning & Collaboration
Stay current with advances in data science, AI, and machine learning, and bring new ideas to the team.
Share knowledge with colleagues through documentation, code reviews, and mentoring.
What You'll Bring:
2–5 years of experience as a Data Scientist, Machine Learning Engineer, or in a similar analytical role.
Hands-on experience with Databricks and PySpark for scalable data processing, and strong Python programming skills (including Pandas, NumPy, and scikit-learn) for developing, training, and evaluating machine learning models.
Good knowledge of machine learning techniques, including regression, classification, clustering, recommendation systems, time-series forecasting, and anomaly detection.
Solid understanding of statistics, probability, hypothesis testing, and experimental design.
Experience with data preprocessing, feature engineering, feature selection, model evaluation, hyperparameter tuning, and cross-validation.
Strong SQL skills for querying, transforming, and analyzing large datasets.
Nice to Have
Experience with Azure Machine Learning, MLflow, or similar MLOps platforms.
Exposure to LLMs, GenAI, or AI agent workflows.
Power BI or similar for communicating insights to stakeholders.
Background in FP&A, demand planning, or a Global Business Services / Shared Services environment.
Experience with ERP or financial consolidation systems (e.g., SAP, Oracle).
Bachelor’s or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, AI, or related).
In Michelin we offer:
Hybrid way of working;
A customizable benefits package with options to choose: gym access, medical or dental services, private retirement pension, deduction of public transport costs, cultural activities vouchers etc.
Private medical subscription;
Life insurance;
Lunch vouchers and discounts;
Deduction of vacation costs.
How we recruit:
Once you submit your application, one of our recruiters reviews it. If your profile fits our role:
We have a phone call to get to know each other;
We hold assessments to see your language skills and competencies;
We meet in a face to face (or online, depending the context) interview, with a recruiter and the hiring manager.
Pass all stages with flying colors, and we’ll send you our offer.
LET’S INSPIRE MOTION FOR LIFE
Where do success and ideas come from? We strongly believe they come from collective intelligence.
Our talents, people and employees are the source of purposeful and sustainable innovations. That’s why we care about developing and enhancing their strength, and we ensure them a tailored professional journey across units and countries.
What drives us is the spirit of unlimited innovation, which we all possess. Our goal is to cultivate and nurture that spirit, by questioning the status quo, improving our way to do things. Therefore, we are always optimistic as to overcome the challenges of tomorrow.
That’s our mission as an employer: inspiring innovation in all of us, to build a better life in motion for you and for everyone.
Michelin, a leader in the field of tires, is dedicated to sustainably enriching the mobility of goods and people through the production, distribution and marketing of tires for each type of vehicle. It also offers innovative business support services, digital mobility services and publishes travel, hotel and restaurant guides, maps and atlases. Michelin has over 4500 employees in Romania: 3 factories (2 in Zalău and 1 in Florești - Prahova), as well as a commercial network, and a center for shared services, in Bucharest. The office in Bucharest also hosts the coordination center for the Central Europe and Central Asia region.
#LI-Hybrid
Skills Required
- 2-5 years experience as a Data Scientist, Machine Learning Engineer, or similar analytical role.
- Hands-on experience with Databricks and PySpark for scalable data processing.
- Strong Python programming skills, including Pandas, NumPy, and scikit-learn.
- Good knowledge of machine learning techniques (regression, classification, clustering, time-series forecasting, anomaly detection, recommendation systems).
- Solid understanding of statistics, probability, hypothesis testing, and experimental design.
- Experience with data preprocessing, feature engineering, feature selection, model evaluation, hyperparameter tuning, and cross-validation.
- Experience deploying and monitoring machine learning models in production and evaluating performance.
- Strong SQL skills for querying, transforming, and analyzing large datasets.
- Ability to collect, clean, and prepare large structured and unstructured datasets and run exploratory data analysis.
- Communicate analytical findings and forecasts to technical and non-technical stakeholders through visualizations and presentations.
- Experience with Azure Machine Learning, MLflow, or similar MLOps platforms.
- Exposure to LLMs, Generative AI, or AI agent workflows.
- Experience with Power BI or similar BI tools.
- Background in FP&A, demand planning, or Global Business Services/Shared Services environment.
- Experience with ERP or financial consolidation systems (e.g., SAP, Oracle).
- Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Mathematics, AI, or related).
Michelin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Michelin and has not been reviewed or approved by Michelin.
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Healthcare Strength — Healthcare access is described as broad, including medical, prescription, dental, mental/behavioral health support, and disability and life insurance coverage. Global baseline protections also emphasize healthcare coverage for employees and families.
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Retirement Support — Retirement support is characterized as strong, with a 401(k) plus additional retirement components referenced alongside profit sharing in the overall package. Financial benefits are framed as a meaningful part of total rewards beyond base salary.
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Parental & Family Support — Parental and family support is positioned as a notable strength through global minimum paid maternity/adoption and paternity/adoption leave, plus survivor benefits tied to salary and education support for children. Additional family-oriented benefits such as adoption assistance are also included in the package.
Michelin Insights
What We Do
Michelin, the leading tire company, is dedicated to sustainably improving the mobility of goods and people by manufacturing and marketing tires and services for every type of vehicle, including airplanes, automobiles, bicycles/motorcycles, earthmovers, farm equipment and trucks. It also offers digital mobility support services and publishes travel guides, hotel and restaurant guides, maps and road atlases. Headquartered in Clermont-Ferrand, France, Michelin is present in more than 170 countries, has 111,200 employees and operates 67 production plants in 17 different countries. Michelin has a Technology Center in charge of research and development, with operations in Europe, North America and Asia. In short, whether you look at our mission, our products or our people, Michelin is a company that truly helps you to move forward....
