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Danone SA

CDI - Head of R&I AI & Algorithm -

NewGlobalAI/ML

Our Take

Lead AI & Algorithm R&I strategy for Danone's food innovation, driving generative AI solutions.

What they’re looking for

  • 10+ years in data science
  • 5+ years in leadership
  • Expertise in ML, DL, Generative AI
  • Experience delivering industrialized AI products
  • Proficiency in cloud platforms, MLOps
  • Strong software engineering principles
  • Experience in biology and food sciences

What you get

  • Competitive compensation package
  • External benchmark and internal equity
  • Fixed salary
  • Yearly bonus
  • Gain sharing

Skills & Focus Areas

  • Data Science
  • Machine Learning
  • Deep Learning
  • Generative AI
  • NLP
  • RAG
  • MLOps
  • CI/CD

As posted by Danone SA

CDI - Head of R&I AI & Algorithm - (H/F) English Global Job Alerts Alerts JOBS Where do you want to work? Select a location Algeria Argentina Australia Austria Azerbaijan Bahrain Bangladesh Belarus Belgium Benin Brazil Bulgaria Burkina Faso Cambodia Cameroon Canada Chad China Colombia Congo Côte d'Ivoire Czech Republic Denmark Egypt Ethiopia Finland France Gabon Georgia Germany Ghana Greece Guatemala Guinea Hungary India Indonesia Iran Iraq Ireland Italy Japan Jordan Kazakstan Kenya Kuwait Latvia Lebanon Lithuania Malaysia Mali Mauritania Mexico Morocco Myanmar Netherlands New Zealand Niger Nigeria Norway Oman Pakistan Philippines Poland Portugal Qatar Romania Saudi Arabia Senegal Singapore Slovakia South Africa South Korea Spain Sweden Switzerland Thailand Togo Tunisa Turkey Uganda Ukraine United Arab Emirates United Kingdom United States Uruguay Vietnam Go Go to global site The criteria below remain indicative. A candidate who has a different combination of experience and skills could also be considered:

  • Master’s/Ph.D. in Data Science, Computer Science or related field 10+ years in data science, 5+ years in leadership
  • Expertise in statistical modeling, machine learning, deep learning, and Generative AI
  • Strong experience of delivering high-stake AI and GenAI industrialized products (NLP projects, RAG, …)
  • Proficiency in cloud platforms, data engineering tools, AI, and MLOps frameworks
  • Experience in integrating AI solutions into cloud infrastructure and with Microsoft Copilot
  • Strong understanding of software engineering principles including CI/CD, clean code, and code packaging for industrialization
  • Strong leadership, communication, and organizational skills
  • Experience in biology and food sciences

We are proud to promote diversity and equal opportunity within our teams. We believe that our differences will make a difference, and that an inclusive work environment will drive our growth as a company, as a team, and as individuals. We will therefore consider all applications* by fostering an inclusive work culture where everyone can feel at home.

We have also chosen to remove inclusive writing from our job offers because its complexity penalizes people with cognitive disabilities, including dyslexia, dysphasia, or apraxia.

*All nominations will be considered regardless of origin, background, religion, sex, sexual orientation, gender identity, disability…

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Danone France is not trying to be the best company in the world, but the best company for the world! That's why all 26 of our brands in France are B Corp™ certified. B Corp is the compass that guides our CSR strategy! This certification allows us to challenge ourselves, continually improve and measure our social and environmental performance. 

 

Danone's research and innovation (R&I) centre, located in Gif-sur-Yvette on the Saclay plateau, is a global center of excellence dedicated to food innovation research. Inaugurated in 2023, this ultra-modern center is at the heart of one of the world's leading scientific hubs. It is home to more than 500 passionate experts of 40 different nationalities, working in the fields of life sciences, health and nutrition, consumer experience and the development of tomorrow's products. Equipped with laboratories and pilot facilities, it supports innovation and development. 


The Danone R&I Center is part of a global research ecosystem designed to foster collaboration with food technology start-ups and accelerate innovation in partnership with consumers and food and health stakeholders. 

 

About Danone's DDAI Transformation in Research & Innovation :

  • At Danone, our Research & Innovation (R&I) division is at the heart of our mission to bring health through food to as many people as possible. To invent the future of food and become truly future-fit, we have launched DDAI (Data, Digital & AI), a transformative program designed to revolutionize our R&I landscape.
  • Our DDAI strategy is focused on delivering significant value across six strategic flagships, including pioneering work in Gut Health & Microbiome, In Silico Modeling, Consumer Insights, and Digitization & Efficiency.
  • The DDAI Lab's mission is to accelerate the delivery of these initiatives, build the strong data foundations needed to power AI, and ensure we focus on the most valuable projects. We are currently driving our top 20 priority projects; a dynamic portfolio composed of 14 high-impact use cases and 6 foundational projects.

 

Join us to be a part of reshaping the future of food and wellness !

 

Position Overwiew : 

Reporting to the Director of DDAI Tech & AI, the Head of R&I AI & Algorithm is the scientific and technical leader for all our artificial intelligence initiatives and will:

  • Lead the Science & AI strategy for R&I, defining the vision for AI and Generative AI to keep Danone at the forefront of technological solutions and scientific breakthroughs.
  • Ensure methodology rigor and excellence and encourage a delivery mindset
  • Direct the design, development of advanced AI and optimization algorithms, leading the data science team to solve complex challenges across all DDAI use cases.
  • Establish and oversee AI governance and best practices, ensuring all AI products are robust, scalable, ethically sound, and deliver maximum business impact.

 

Key Responsibilities :

  • Define and execute the R&I Science & AI strategy, including GenAI, ensuring alignment with company goals.
  • Drive innovation by leading a technological watch and fostering collaboration with internal teams, universities, and external labs.
  • Lead the end-to-end AI product lifecycle, from designing and optimizing advanced algorithms to overseeing the scaling of robust products, while implementing MLOps best practices.
  • Lead, mentor, and manage the Data Scientist & Data Analyst team (MNS Data Science team) as their technical leader.
  • Animate the R&I Science & Data community to mutualize expertise and ensure the adoption of best practices across all DDAI use cases.
  • Establish AI and GenAI governance guidelines to mitigate risks, in alignment with the central DDAI governance framework.

Our employer commitments:

  • The guarantee of a relevant, competitive and scalable compensation package, through external benchmark and internal equity. It consists among other things of a fixed salary, an yearly bonus, gain sharing.

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