Sr. D&T Data Scientist

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 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

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. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T)  Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.

JOB OVERVIEW

Function Overview

The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an View email address on careers.generalmills.com delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. 

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.

KEY ACCOUNTABILITIES

Deliver on business problems:

• Partners with business stakeholders to deliver value-added insights and intelligent solutions through ML and AI.
• Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally, ensure support for the post-production to ensure model performance degradation is proactively managed.
• Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.
• Provide consultation and review the deliveries for the junior data scientists.
• Recognizes opportunities to apply external industry trends and implements them within role.
• Is considered an expert in at least one of the functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.

Consultation:

• Lead Interactions with stakeholders to learn about the problem statement and drive results.
• Be an advocate for the data science team.
• Constructively challenge the other data scientists on the approach
• Contribute to best practices as we evaluate new platforms, tools, and pipelines.
• Mentor Jr. Data Scientist / Interns / Contractors
• Collaborate with analytic leaders across functions.

Stakeholder Management:

• Manage the assigned priorities, consistency of execution and managing resources.
• Develop trust and credibility with business leaders.
• Educate stakeholders on the GCP analytic practices.
• 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.
• Demonstrates learning agility and ability to apply to work.
• Leverage and contribute to new open-source innovation.

MINIMUM QUALIFICATIONS

• Total analytics experience required: 10+ years of relevant experience
• 5+ yrs in supply chain analytics with a strong understanding of supply chain operations, inventory management, manufacturing, and distribution
• Bachelor’s or Master's degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from a Tier 1 institute.
• Proven implementation of ML and AI practices
• Expertise in supervised ML algorithms, OLS regression, naive bayes approach, linear attribution model, time decay model, Markov chains, along with linear optimization and performance tuning
• Proficiency in the FMCG/CPG domain
• Technical Platform- include proficiency on Google Cloud Platform, SQL, Python, and R
• Technical Concepts- MLOps, Containerization, Data Lineage, and Visualization
• Experience working with an Agile development methodology featuring sprints, point estimation, and daily stand-ups.
• Excellent stakeholder management skills and storytelling skills
• Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks
• Proven implementation of ML and AI practices
• Exposure to unsupervised learning and NLP
• Technical concepts and platforms- MLOps, Containerization, Data Lineage, and Visualization.
• Proficiency in Cloud Platform (GCP preferred), SQL, Python, and R

PREFERRED QUALIFICATIONS

• Experience with Cyber Security fundamentals
• Advanced AI/ Deep Learning techniques