ITQ Data Scientist II

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. ITQ Data Scientist II Function: R&D / Packaging Location: Mumbai (Hybrid) Reports to: Sr. Manager, Global Knowledge Solutions About General Mills A global food company operating 100+ brands across 100 countries, driven by innovation, quality, and consumer trust. With iconic brands like Cheerios, Pillsbury, Betty Cro cker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. Role Overview The Global Knowledge Solutions (GKS) team enables innovation, product development, and quality excellence across ITQ. The Data Scientist II will design, build, and deploy scalable machine learning and AI solutions to solve complex R&D, consumer research, and quality challenges. This role requires deep expertise in ML, Deep Learning, MLOps, and Agentic AI systems, with the ability to independently lead end-to-end projects. Key Responsibilities Technical Excellence (70%) Lead full ML lifecycle: problem framing data prep modeling deployment Build predictive models (regression, classification, clustering, time-series) Apply statistical and advanced analytics to structured & unstructured data Develop scalable ML pipelines and deploy models to production Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks Evaluate and optimize AI systems using custom metrics and feedback loops Stay current with emerging ML and GenAI advancements Business Partnership (15%) Translate business needs into analytical solutions Communicate insights clearly to technical and non-technical stakeholders Deliver projects on time with defined success criteria Innovation & Continuous Improvement (10%) Improve processes and methodologies Develop new analytical capabilities Continuously upskill in ML and AI best practices Administration (5%) Complete required trainings and organizational responsibilities Qualifications Education: Master's or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field Experience: 5+ years building and deploying ML models Required Skills Strong ML expertise (feature engineering, validation, ensemble models, neural networks) Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.) Experience with PyTorch, TensorFlow, Keras, or similar Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure) Experience deploying production ML systems Strong data storytelling and visualization skills (Shiny, Dash, Tableau) Ability to manage multiple projects independently Preferred 5+ years of experience Background in statistics or quantitative sciences Certifications in R, Python, or SQL