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