COMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​ OVERVIEWGeneral Mills, Digital and Technology India, is seeking a Data Scientist II to join the Data Science team. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, logistics optimization, price optimization, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.KEY ACCOUNTABILITIESDevelop novel ways to help business partners achieve objectives through analysis & modellingThink outside the box to identify & test new sources of information that unlock new business valueExplore, curate and connect external data sets for broad enterprise-wide analytic usageEngineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal resultsUtilize machine learning models to create repeatable, dynamic & scalable modelsBe a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teamsBe a part of the team, collaborate, ask questions, engage and solicit feedback from other Data ScientistsCollaborates with technical teams like development and infrastructure.Able to explore, troubleshoot on niche technologies and provide automation solutions.Have passion to advocate and educate on the value and importance of data driven decision making & analytical methodsIdentify and develop long-term data science processes, frameworks, tools, and standardsBe a part of innovation team to partner in developing accelerators and Agentic solutions for Data Science team productivity.MINIMUM QUALIFICATIONSMinimum qualification- Bachelor's in Technology/ Engineering/Science.Total analytics experience required 4-6 Years.Experience with supervised machine learning models.Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.Technical understanding of cloud platforms and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.Strong attention to detail & accuracy.Good collaboration skills and ability to communicate insights through clear, simple stories.Good verbal and written communication skills.Expert level understanding -Python, Exploratory data analysis, Inferential Statistics.Any Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.Intermediate Level Understanding - R & SQL. Any Cloud platform. Preferred: Google Cloud Platform – Vertex AI, BQ, Composer).Basic Level Understanding - Tableau, Looker, Deep LearningPREFERRED QUALIFICATIONSKnowledge and usage of Agentic / Generative tools ELIGIBILITYApplicants must meet minimum age qualifications in the country in which the job is located.