Data Scientist II

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

us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com

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.

With our team of 1800+ professionals, we deliver superior value across the areas of supply chain, digital & technology, innovation, technology & quality, consumer & market intelligence, sales strategy & intelligence, global shared services, finance shared services and Human Resources Shared Services.For more details check out https://www.generalmills.co.in

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 Consumer and Market Intelligence, Performance & Consumer Analytics (PCA), Mumbai. This is a global team of 100 members supporting business and enabling strategies through data-driven solutions. Team is based out of Minneapolis Minnesota and Mumbai India location.

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.

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.

1. Should have expertise in machine learning techniques, statistical modeling, and time-series analysis.

2. Proven expertise in developing, implementing, and optimizing accurate & impactful forecasting models.

3. In-depth knowledge and hands-on experience with time-series forecasting (e.g., Prophet, ARIMA, SARIMA, Exponential Smoothing etc.).

4. A deep understanding of linear regression and econometrics and their usage in a business setting.

5. Hands-on experience in supervised & unsupervised ML algorithms, inferential statistics, regression, classification, decision trees, ensemble models.

6. Strong proficiency in programming languages such as R and/or Python and SQL.

7. Experience working with cloud platforms and big data technologies for scalable forecasting solutions.

9. Minimum of 5 years of relevant experience in Data science with a bachelor’s degree; or 3 years with a master’s degree in engineering, Data Science, Applied Mathematics, Statistics, economics or related field.

10. Experience in building machine learning applications/tools.