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. **Job Description**: **Data Scientist II - Decision Sciences** **About General Mills** We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate General Mills India Center is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. **Job Overview** The future of food will be created by those who best anticipate evolving consumer behavior. Consumer & Market Insights (CMI) collects, curates, and combines data, human behavior understanding, and empathy to achieve competitive advantage for General Mills. Our mission in CMI ‘globally’ is to be the spark that ignites growth acceleration, connecting insights and analytics to drive action. We drive business growth through a deep understanding of our consumers and our markets. Our goal is to illuminate growth opportunities and guide teams to activate behind them through consumer-led strategies and ideas. CMI Mumbai is an extension of General Mills CMI global organization, working closely with Growth Analytics & Foresights central teams, and all our GMI business segments i.e., North America Retail, Pet, International and North America Food Service, along with the CPW business (GMI’s JV with Nestle). We are a young and dynamic team of ~100 and growing, with research, data, and analytical skills, with the unique opportunity to shape and scale capabilities across our global organization. This position is a part of the Consumer and Market Intelligence, Decision Sciences team, Mumbai. This is a global team of 90 members supporting business and enabling strategies through data-driven solutions. Team is based out of Minneapolis Minnesota and Mumbai India location. Our Decision Sciences team is made of data engineers, data visualizers, statisticians and data scientists who help model and predict the impact of multiple internal and external forces on our businesses for strategic decision-making. We are looking for a data scientist. - who is passionate about the possibilities of leveraging data for informed decision-making and has demonstrated and implemented a few of those. - who not only understands the data, the model, and the math but also its necessity & impact on business. - who loves to speak with stakeholders, understand the business, and then proactively identify opportunities when ML can bring in significant value. **Key Accountabilities** 1. Develop innovative approaches to assist business partners in achieving objectives through analysis and modelling. 2. Think creatively to identify and test new sources of information that unlock additional business value. 3. Curate and connect external datasets for widespread enterprise-wide analytical usage. 4. Effectively communicate the "why and how" of data-driven recommendations to cross-functional teams, employing storytelling techniques. 5. Engineer features by leveraging business acumen to categorize, aggregate, pivot, or encode data for optimal results. 6. Utilize machine learning to develop repeatable, dynamic, and scalable models. 7. Monitor and evaluate the performance of models, adjusting parameters as needed to improve accuracy. 8. Implement monitoring mechanisms to identify anomalies and update models accordingly. 9. Monitor the performance of forecasting models and implement improvements based on feedback and changing business dynamics. 10. Conduct regular assessments to ensure models align with business objectives and provide reliable forecasts. 11. Passionately advocate for and educate others on the value and significance of data-driven decision-making and analytical methods. 12. Identify and develop long-term data science processes, frameworks, tools, and standards. 13. Collaborate as a member of the team, actively engaging with and seeking feedback from other Data Scientists. **Minimum Qualifications** 1. Should have expertise in machine learning techniques, statistical modeling, and time-series analysis. 2. Proven expertise in developing, implementing, and optimizing accurate & im