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 Hagen-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 (Nestl 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.
