CPW Associate Data Scientist

Data Scientist I – Decision Sciences

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 the 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

This position is part of the Decision Sciences team for CPW within CMI Mumbai. This is a global team of 90 members supporting business and enabling strategies through data-driven solutions. CPW Team is based out of Switzerland (HQ), UK and Mumbai India location.

We are looking for a junior 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 model but also the data and math behind it.

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. Effectively communicate the "why and how" of data-driven recommendations to cross-functional teams, employing storytelling techniques.

4. Engineer features by leveraging business acumen to categorize, aggregate, pivot, or encode data for optimal results.

5. Utilize machine learning to develop repeatable, dynamic, and scalable models.

6. Passionately advocate for and educate others on the value and significance of data-driven decision-making and analytical methods.

7. Identify and develop long-term data science processes, frameworks, tools, and standards.

8. Collaborate as a member of the team, actively engaging with and seeking feedback from other Data Scientists.

9. Be able to explore and troubleshoot niche technologies and provide automation solutions.

1. Should have a working knowledge of traditional ML and statistical models.

2. Ability to program in R and/or Python and SQL.

3. 3 years of related experience with a bachelor’s degree; or 2 years with a master's degree.

4. Experience using clustering, regression, and classification Techniques.