D&t Data Scientist Ii

Mumbai-SPECTRA, India
- Digital & Technology
- 35532
- Position Title

Data Scientist II

Function/Group

Digital & Technology

Location

Mumbai India

Shift Timing

11 AM - 8 PM

Role Reports to

Manager Data Science

Remote/Hybrid/in-Office

Hybrid

**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 (GIC) 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.
- We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

**JOB OVERVIEW**

**Function Overview**
- The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link

**Purpose of the role**

General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. 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, optimization, price optimization, logistics, 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 ACCOUNTABILITIES**

**Deliver on business problems**:

- Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.
- Develops AI solutions leveraging the best practices and enables maintainability and scalability.
- Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
- Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.

**Consultation**:

- Lead Interactions with stakeholders to learn on problem statement and drive results.
- Be an advocate for data science team.
- Constructively challenge the other data scientists on approach
- Contribute to best practices as we evaluate new platforms, tools and pipelines.

**Stakeholder Management**:

- Manage the assigned priorities, assigned tasks and consistency of execution.
- Develop trust and credibility with business leaders.
- Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.

**Collaboration**:

- Works on problems of diverse scope.
- Demonstrates good judgment in selecting methods and techniques.
- Networks with senior internal and external personnel in own area of expertise.
- Lead research work to new analytic trends aligned to business.
- Leverage and contribute to new open-source innovation.

**MINIMUM QUALIFICATIONS**
- Minimum qualification
- bachelor’s degree (full time)
- Total analytics experience required 6-9 Years.
- Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
- 3+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution
- Proven implementation of ML and AI practices
- Expertise in supervised ML algorithms,
- Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.
- Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
- Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.

**Must - have technical skills and experience**

**(Expertise in at least one among section1 and/or section2)**

**Section1-Operations Research(Optimization and simulation)**
- Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation pro