Data Science Lead

il y a 2 semaines

IssylesMoulineaux, France Nestle Operational Services Worldwide SA Temps plein

Nestlé Zone Europe is looking for a Data Science lead to help us dive deeper in data, teach tricky techniques and make meaningful models. Current and planned projects encompass data driven marketing (including a consumer data platform), data driven sales, pricing, assortment optimization, and sustainability. The position will report to the Chief Data Officer for Zone Europe, Jessica Matheron.

**Main responsibilities**
- Design machine learning pipelines iteratively. From literature review to monitoring through production. You will also design and deploy statistical tests to evaluate model changes. The role is very hands on as the only senior person fully dedicated to data science.
- Contribute to strategic brainstorming to help prioritize initiatives. Partner with Data Analysts to gain expert business knowledge and Data Engineers to deploy every model effectively.
- Work closely with internal resources: Global, Zone Europe and Country (Data Analytics, Data Engineers, Data Governance, Data POs, CDO)
- Supervise external collaborators (group resources, consultants) to get projects across the finish line.
- Hire and lead a small team of data scientists over time as Nestlé’s needs evolve. Expect 1-2 direct reports in the first year.
- Communicate on best practices and actively participate in upskilling the department.

The role can be partially remote and there will be flexibility, but you should expect to spend 20%-40% of the time (on a monthly basis) in the office.

**Preferred experience**
- Master’s degree (science Grandes Ecoles a plus) and/or PhD in STEM (very much welcomed), preferably with a statistics focus.
- Over 5 years of experience in data science, preferably with some lead/management experience. Welcome areas of focus are NLP/Representation Learning, Time Series/Econometrics, Test Design, Reinforcement Learning, Optimization.
- Solid Python & SQL programming. Competency in shell scripting and deployment to Production.
- Mastery of a modern cloud-based data stack. Experience deploying and maintaining ML models in production is a plus.
- Knowledge of Azure, Databricks, DBT, Snowflake, PowerBI a plus.

The inclusion of differences is Nestlé in France's strength.

We are signatory of the Diversity Charter and the Charter of l’Autre Cercle.

inclusivecompany #WeAreNestle

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