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Danone

Global foods and beverages company

Health Data Scientist - Gen AI, Agentic AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A Master's or Ph.D. degree in a relevant technical discipline is required.
  • Strong expertise in deep learning and proficiency with at least one leading deep learning framework are required.
  • Experience developing and managing MLOps pipelines and end-to-end machine learning lifecycles is required.
  • Hands-on experience with multimodal Generative AI technologies, including VAEs, GANs, diffusion models, Vision Transformers (ViT), Swin Transformers, large language models (BERT, GPT), fine-tuning techniques, LoRA, knowledge distillation, and vision-language models is required.
  • Proven experience designing and implementing multi-agent systems, including memory architectures, vector databases, RAG, reasoning and planning agents, tool integration, MCP, agent orchestration frameworks, guardrails, reinforcement learning, and automated evaluation mechanisms is required.
  • Strong project management capabilities, including scope definition, resource planning, timeline management, and success measurement, are required.
  • Experience working with cloud platforms, particularly AWS and/or Azure, is required.
  • At least 5 years of experience in Data Science within the healthcare, life sciences, or digital health sector is required.
  • Strong stakeholder management and collaboration capabilities across cross-functional and global teams are required.
  • Ability to translate business challenges into actionable data science and AI initiatives is required.
  • Excellent communication skills, including the ability to present complex scientific and technical concepts clearly to non-technical audiences, are required.

Responsibilities

  • Collaborate with internal and external stakeholders globally on initiatives involving digital health solutions, real-world evidence, and clinical data.
  • Lead the development of GenAI and multimodal, multi-agent solutions leveraging text, image, audio, and video capabilities to support digital health tools.
  • Design interactive analytical frameworks for the governed analysis of real-world and clinical data.
  • Establish robust testing and monitoring processes to ensure the accuracy, reliability, and performance of generative and agentic systems.
  • Communicate insights, outcomes, and recommendations to stakeholders within Danone and across external partner organizations.

Desired Qualifications

  • Experience with Agent Bricks is advantageous.
  • Experience with Strands Agents is advantageous.
  • Familiarity with Agile methodologies such as Scrum and Kanban is highly desirable.

About the Company

Danone

Global foods and beverages company

Danone is a global food and beverage company focused on Essential Dairy & Plant-Based products, Waters, and Specialized Nutrition. It sells brands like Actimel, Activia, Alpro, Evian, Nutricia, and Volvic across more than 120 markets, employing over 100,000 people. Its products aim to support health and sustainability, guided by the One Planet. One Health framework and 2030 goals, with a plan to pursue B Corp certification by 2025. It differentiates itself with a mission-driven approach, the Entreprise à Mission status in France, and strong sustainability commitments across a diversified brand portfolio to bring healthy, sustainable eating to as many people as possible.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1919

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