R&D Data Science Group Leader M/F

R&D Data Science Group Leader M/F

Grenoble, Auvergne-Rhône-AlpesProduct Design Engineering – Data Science & AI Innovation Team /CDI / Permanent position /On-siteapply for this jobAbout 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.apply for this job