Job Description
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.
Data Scientist – Consumer & Market Intelligence (PCA)
General Mills India Center | Mumbai
About General Mills
General Mills is a global food company with 100 brands in 100 countries across six continents , serving iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs for 155+ years .
The General Mills India Center (GMI), Mumbai , is a global capability hub with 1800+ professionals , delivering value across analytics, insights, technology, supply chain, finance, HR, and shared services.
Role Overview
This role sits within Consumer & Market Insights (CMI) under Performance & Consumer Analytics (PCA) . The Decision Sciences team (based in Minneapolis & Mumbai) supports global businesses including North America Retail, Pet, International, North America Foodservice , and CPW (Nestlé JV) .
We are seeking a Data Scientist who combines strong machine learning, forecasting, and statistical expertise with deep business understanding , and can translate analytics into impactful business decisions.
Key Responsibilities
Develop innovative analytical and modeling solutions to support business objectives
Identify, curate, and integrate internal and external data sources
Engineer features using business-driven transformations
Build scalable ML and time-series forecasting models (Prophet, ARIMA, SARIMA, ETS)
Monitor model performance, accuracy, and anomalies; implement improvements
Translate insights into clear, compelling data-driven stories
Define and evolve data science processes, tools, frameworks, and standards
Collaborate with data scientists and cross-functional stakeholders
Advocate data-driven decision-making across the organization
Minimum Qualifications
Strong expertise in machine learning, statistical modeling, and time-series analysis
Proven experience developing and optimizing forecasting models
Deep understanding of regression, econometrics, and inferential statistics
Hands-on experience with supervised & unsupervised ML techniques
Proficiency in Python and/or R, and SQL
Experience with cloud platforms and big data technologies
Ability to convert analytics into actionable business strategies
5+ years experience (Bachelor’s) or 3+ years (Master’s) in Data Science or related fields
Experience building ML-based applications/tools
Preferred Skills
Strong stakeholder management and communication skills
CPG industry experience
Advanced SQL and data visualization tools
ML app development (R Shiny, Flask, etc.)
Strong data quality, problem-solving, and organizational skills
Ability to clearly explain model outputs to business stakeholders
Curious, collaborative, and team-oriented mindset
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
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