ITQ Data Scientist II

General Mills, Inc.; Mumbai; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

General Mills, Inc. seeks a Data Scientist II to drive ML projects end-to-end in Mumbai, India. The role involves problem framing, data prep, modeling, and deploying scalable AI solutions for R&D and quality challenges.

The candidate should have 5+ years of ML experience, strong Python/R skills, and hands-on MLOps with cloud platforms. Excellent data storytelling and stakeholder communication are essential for success.

Qualifications

• Advanced degree in a quantitative field with research exposure.
• 5+ years building and deploying ML models in production.
• Strong Python/R proficiency with data visualization skills.

Responsibilities

• Lead full ML lifecycle from framing to deployment.
• Build predictive models (regression, classification, time-series).
• Develop scalable ML pipelines and production-grade solutions.
• Design AI agents using LLMs, memory, tools, and orchestration.
• Translate business needs into analytical outcomes and present insights.
• Maintain up-to-date knowledge of ML/genAI advancements.

Skills

ML expertise

Python/R

PyTorch

MLOps

Data storytelling

Git

Cloud platforms

Visualization

Education

Master’s or PhD in Data Science/CS/Statistics

Tools

Git

AWS

GCP

Azure

Docker

Job description

OverviewThe 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 ResponsibilitiesTechnical 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 advancementsBusiness Partnership (15%)* Translate business needs into analytical solutions* Communicate insights clearly to technical and non-technical stakeholders* Deliver projects on time with defined success criteriaInnovation & Continuous Improvement (10%)* Improve processes and methodologies* Develop new analytical capabilities* Continuously upskill in ML and AI best practicesAdministration (5%)* Complete required trainings and organizational responsibilitiesMinimum Qualifications**Education:** Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related quantitative field **Experience:** 5+ years building and deploying ML modelsRequired 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 independentlyPreferred Qualification* 5+ years of experience* Background in statistics or quantitative sciences* Certifications in R, Python, or SQL