ITQ Data Scientist II
General Mills · Powai
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 another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

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
Minimum 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 Qualification
5+ years of experience
Background in statistics or quantitative sciences
Certifications in R, Python, or SQL
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.