Data science specialist

Ph2Data Science Specialist /h2pAt Nestlé Nutrition, our mission is to nurture a Healthier Generation. We aim to achieve this by leading the way in Research and Development of science proven nutrition solutions and by partnering with parents and healthcare professionals around the world. From pre-conception to adulthood, we are widening our reach and opening up new opportunities across the lifelong nutrition journey. /ph2What we offer at Nestlé /h2pExciting opportunities to develop your career your way; across different brands, businesses, functions, and regions. /ppFlexible working arrangements - facilitating creativity and collaboration /ppA culture of respect, with diversity, equity and inclusion at its core. Learn more a here /a. /ppA dynamic international environment empowering you to learn, develop and grow. /ppDon’t hesitate to connect with us during the recruitment process to learn more. /ph2Position Summary /h2pAs a Data Science Specialist, you will lead predictive modeling initiatives and translate complex data into actionable insights to support product innovation within the Nutrition Innovation Unit. You will collaborate with cross-functional teams (Scientists, Sensory Specialist, Product Developers, and others) to ensure robust data connectivity, high analytical standards, and full compliance with company frameworks. /ph2A Day in the Life of a Data Science Specialist /h2ulliLead the application of machine learning techniques (e.g., regression, classification, time-series forecasting) to solve complex business problems across domains such as product development and advanced analytics /liliOwn the preparation of complex datasets, including data cleaning, transformation, and structuring, to enable robust modeling and high‑quality analysis. /liliPartner closely with domain experts and cross‑functional stakeholders to design, develop, and deliver impactful data science solutions aligned with business needs. /liliDeploy and operationalize models in production environments, ensuring performance, reliability, and scalability, using platforms such as Azure ML, Databricks, and Snowflake. /liliMonitor model performance and continuously optimize accuracy, robustness, and scalability over time. /liliTranslate analytical insights into clear visualizations and structured narratives, effectively communicating recommendations to both technical and non‑technical audiences. /li /ulh2What will make you successful /h2ulliAdvanced degree (MSc or higher) in Data Science, Statistics, Computer Science, or a related field /liliExtensive experience in data science within Life Sciences, Food, or Academia, applying agile development practices /liliProven track record in building and deploying predictive models in production /liliHands-on expertise with ML frameworks (TensorFlow, Keras, PyTorch, Scikit-learn) and statistical methods including Design of Experiments /liliFamiliarity with APIs (REST, JSON) and data visualization tools such as Power BI, PowerApps, and Streamlit /liliProficiency with cloud and data platforms including Azure, Databricks, Snowflake, and SQL databases. /liliAbility to explain complex technical concepts to non-technical audience /liliStrong collaboration skills, with experience working closely with cross-functional teams (scientists, sensory specialists, product developers) /liliHighly autonomous and self‑driven, with strong problem‑solving capabilities /liliExcellent communication skills in English /li /ulpNestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please do let us know so we can support you effectively. All information will be treated confidentially. /p /p