Senior Data Scientist

• 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