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ITQ Data Scientist II

General Mills -
Mumbai, Maharashtra

Apply Now

Job details

Qualifications

TensorFlow
Statistics
Azure
Statistics
Doctoral degree
Computer Science
PyTorch
NumPy
R
Git
Tableau
Master's degree
SQL
Pandas
AWS
Machine learning
Deep learning
Data science
Keras
AI
Python
Data Science

Full 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.

Job Description:

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: 5+ 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.

Apply Now

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ITQ Data Scientist II

About General Mills

Role Overview

Key Responsibilities

Technical Excellence (70%)

Business Partnership (15%)

Innovation & Continuous Improvement (10%)

Administration (5%)

Qualifications

Required Skills

Preferred

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