Data Scientist

About Danone Group: Mission: ‘Bringing Health through Food to as Many people as Possible’ Danone is a global leader in food and beverages, focusing on Essential Dairy and Plant-based products, Waters, and Specialized Nutrition. Our mission is to bring health through food to as many people as possible by creating nutritious products, promoting healthy eating habits, and operating sustainably. With nearly 90,000 employees and products available in over 120 markets, Danone generated €27.6 billion in sales in 2023. Our Renew Danone strategy aims to foster long-term value through innovation and community support. Danone is committed to making a positive impact economically, socially, and environmentally. In 2020, we became the first listed company to adopt the ‘Société à Mission’ status, reflecting our vision for a sustainable future. More information can be found at About Danone India: Danone operates in India as Nutricia International Pvt. Ltd, focusing on nutrition with a range of products catering to infants, toddlers, pregnant mothers, as well as adults. The company features well-known brands such as Aptamil, Dexolac, and Protinex. Danone employs over 1,000 individuals across India and generates a turnover exceeding €150 million. The company's head office is located in Mumbai, with a manufacturing facility situated in Lalru, Punjab. Danone India is a Great Place To Work® certified organization, which reflects our commitment to creating a workplace where people are empowered to contribute meaningfully, grow professionally, and feel a true sense of belonging. More information can be found at Job Summary: Work on the project of transformation of Demand Planning at global level in the roadmap of the digitalization for the Supply Chain. Creating and developing the ML models for all Danone categories\ Roles & Responsibilities: Be part of the design and development of the ML core models and the analytics behind them Understand and capture cross country needs Be able to build the common approach of ML scalable models for the demand planning teams of different countries Support with all the analytics needs for the adoption of the ML models Build outstanding best in class ML models for Demand Planning that are able to cope with more complex and less steady environments Set up KPI's to track ML and Statistical models performance Select and understand the best approach of automatization for the overall Demand process driven by Statistical and Machine Learning capabilities Ensures collaboration of all teams in order to guarantee scalability of the models Keeps a close control of the ML developments to ensure cost compliance Responsible of the Continuous Improvement of the ML models and create the strategy of ML vs Statistical approach Responsible for the region's continuous improvement of ML and Statistical models in order to improve business performance Create standard ways of measure and manage strategies to find and fix root causes in forecast bias/accuracy Develop capabilities and skills on Machine Learning understanding across the regions Build, maintain, fine tune and audit Statistical & ML models to guarantee adaptability to new business context providing service for all regions Assist regions in processes and tools to embrace Statistical and ML technology Shield key processes and know-how on Statistical and ML Ensures standardization between different countries Guarantee highest ML utilization Job Specifications: Education: Mathematics/Physics/Engineering with a master’s in business/data analytics or proven track record on Data Science Proven track record of minimum 5 years as a data scientist Great analytical skills Coding capabilities in R and/or Phyton Relationship/ Network builder Change management Project management Experience with Continuous Improvement Main Interfaces Cross country demand planning teams IS/IT project managers and developers Supply chain cross functions