R&D Data Science Group Leader M/F

About this role : • The group leader oversees:

- A Data Science & Data Analysis team (Insights, modelling, experimentation)

- An R&D Prototyping Engineering team (Proof of concept software, technical validation)

• This role focuses on innovation, feasibility, and validation, not long-term production ownership.

Main responsibilities : • Leadership & Team Management

• Lead, mentor, and grow a team of data scientists, data analysts, and R&D/prototyping engineers

• Set technical direction, priorities and ways of working

• Foster collaboration between analytical and engineering profiles ·

• Foster collaboration with CAE team by giving them inputs to build reduced order models for process

• Ensure high standards of quality, rigor and documentation

• Strategy & Prioritization

• Define and manage the R&D and analytics roadmap aligned with business objectives

• Prioritize initiatives based on, business value, technical feasibility and time to impact

• Balance exploratory research with delivery of concrete outcomes

• Data Science & Analytics Oversight

• Data Exploration and Analysis

• Predictive & statistical modelling

• Ensure insights and models are actionable and decision-oriented.

• R&D Software Prototyping Oversight

• Oversee development of working prototypes that demonstrate feasibility and validate technical approaches

• Ensures prototypes are reproducible, well documented, and sharable with digital/IT teams

• Cross-Functional collaboration

• Act as a key interlocutor with business stakeholders, the product and process R&D team, and the digital/IT teams.

• Ensure smooth handover of validated concepts to production teams

Requirements : • Masters or PhD in Data Science/Applied mathematics/Statistics

• Minimum of 8 years of experience

• Prior experience in leading multidisciplinary technical teams

• Strong understanding of statistical and machine learning models

• Large-scale data analytics

• Familiarity with modern analytics and prototyping stacks

• Ability to assess technical feasibility and risks

• Ability to align diverse profiles towards shared goals

• Strong ability to translate complex findings into business insights

• Comfortable communicating with senior stakeholders

• Strategic mindset with a focus on impact