ITQ Data Scientist II
Location: India-Mumbai-Ventura
Category: Research & Development
Employment Type: FULL_TIME
Tags: India
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.
ITQ Data Scientist II
Function: R&D / Packaging
Location: Mumbai (Hybrid)
Reports to: Sr. Manager, Global Knowledge Solutions
About General Mills
A global food company operating 100+ brands across 100 countries, driven by innovation, quality, and consumer trust.With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
Role Overview
The Global Knowledge Solutions (GKS) team enables innovation, product development, and quality excellence across ITQ.
The Data Scientist II will design, build, and deploy scalable machine learning and AI solutions to solve complex R&D, consumer research, and quality challenges. This role requires deep expertise in ML, Deep Learning, MLOps, and Agentic AI systems, with the ability to independently lead end-to-end projects.
Key Responsibilities
Technical Excellence (70%)
Lead full ML lifecycle: problem framing → data prep → modeling → deployment
Build predictive models (regression, classification, clustering, time-series)
Apply statistical and advanced analytics to structured & unstructured data
Develop scalable ML pipelines and deploy models to production
Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
Evaluate and optimize AI systems using custom metrics and feedback loops
Stay current with emerging ML and GenAI advancements
Business Partnership (15%)
Translate business needs into analytical solutions
Communicate insights clearly to technical and non-technical stakeholders
Deliver projects on time with defined success criteria
Innovation & Continuous Improvement (10%)
Improve processes and methodologies
Develop new analytical capabilities
Continuously upskill in ML and AI best practices
Administration (5%)
Complete required trainings and organizational responsibilities
Qualifications
Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field
Experience: 4+ years building and deploying ML models
Required Skills
Strong ML expertise (feature engineering, validation, ensemble models, neural networks)
Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
Experience with PyTorch, TensorFlow, Keras, or similar
Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)
Experience deploying production ML systems
Strong data storytelling and visualization skills (Shiny, Dash, Tableau)
Ability to manage multiple projects independently
Preferred
5+ years of experience
Background in statistics or quantitative sciences
Certifications in R, Python, or SQL
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.
Responsibilities
ITQ Data Scientist II
Function: R&D / Packaging
Location: Mumbai (Hybrid)
Reports to: Sr. Manager, Global Knowledge Solutions
About General Mills
A global food company operating 100+ brands across 100 countries, driven by innovation, quality, and consumer trust.With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Haagen-Dazs, we have been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
Role Overview
The Global Knowledge Solutions (GKS) team enables innovation, product development, and quality excellence across ITQ.
The Data Scientist II will design, build, and deploy scalable machine learning and AI solutions to solve complex R&D, consumer research, and quality challenges. This role requires deep expertise in ML, Deep Learning, MLOps, and Agentic AI systems, with the ability to independently lead end-to-end projects.
Key Responsibilities
Technical Excellence (70%)
Lead full ML lifecycle: problem framing → data prep → modeling → deployment
Build predictive models (regression, classification, clustering, time-series)
Apply statistical and advanced analytics to structured & unstructured data
Develop scalable ML pipelines and deploy models to production
Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
Evaluate and optimize AI systems using custom metrics and feedback loops
Stay current with emerging ML and GenAI advancements
Business Partnership (15%)
Translate business needs into analytical solutions
Communicate insights clearly to technical and non-technical stakeholders
Deliver projects on time with defined success criteria
Innovation & Continuous Improvement (10%)
Improve processes and methodologies
Develop new analytical capabilities
Continuously upskill in ML and AI best practices
Administration (5%)
Complete required trainings and organizational responsibilities
Qualifications
Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field
Experience: 4+ years building and deploying ML models
Required Skills
Strong ML expertise (feature engineering, validation, ensemble models, neural networks)
Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
Experience with PyTorch, TensorFlow, Keras, or similar
Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure)
Experience deploying production ML systems
Strong data storytelling and visualization skills (Shiny, Dash, Tableau)
Ability to manage multiple projects independently
Preferred
5+ years of experience
Background in statistics or quantitative sciences
Certifications in R, Python, or SQL
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