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Day 7
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From 4,284 similar postings that came down. Coming down is not always a hire.
ITQ Data Scientist II
Reads like a ML Engineer role: putting models into production.
Powai, Mumbai, MH
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingLead end-to-end ML projects from problem framing to deployment
Build predictive models such as regression, classification, clustering and time-series
Develop scalable ML pipelines and deploy models to production
Design AI agents using LLMs, RAG, memory, tools and orchestration frameworks
Translate business needs into analytical solutions
From the employer’s posting
Lead full ML lifecycle: problem framing → data prep → modeling → deployment
Build predictive models (regression, classification, clustering, time-series)
Develop scalable ML pipelines and deploy models to production
Design and implement AI agents using LLMs, RAG, memory, tools, and orchestration frameworks
Translate business needs into analytical solutions
What you’ll bring
All qualificationsCore experience
- Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
- Experience with PyTorch, TensorFlow, Keras, or similar
- Experience deploying production ML systems
- Ability to manage multiple projects independently
Qualification wording
Proficiency in Python/R (pandas, NumPy, scikit-learn, etc.)
Experience with PyTorch, TensorFlow, Keras, or similar
Experience deploying production ML systems
Ability to manage multiple projects independently
Education & alternatives
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
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 13
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Aug 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
General Mills is hiring
57 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- 2% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- AWS
- Azure
- GCP
- Tableau
- Keras
- NumPy
- pandas
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 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
- Background in statistics or quantitative sciences - Certifications in R, Python, or SQL 
ELIGIBILITY
- Experience with PyTorch, TensorFlow, Keras, or similar - Hands-on MLOps, Git, and cloud platforms (AWS/GCP/Azure) - Experience deploying production ML systems
- Experience deploying production ML systems - Strong data storytelling and visualization skills (Shiny, Dash, Tableau) - Ability to manage multiple projects independently
- 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)
Your next step
Complete your application on genmills.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Powai, Mumbai, MH
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.