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Day 7
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Powai, Mumbai, MH
Actively hiring, first seen by us 7 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build repeatable, scalable machine learning models for business use cases
Analyze data and engineer features to unlock business value
Explore and connect external data sets for enterprise-wide analytics
Explain data-driven recommendations to cross-functional teams as clear stories
Develop long-term data science processes, frameworks, tools and standards
Utilize machine learning models to create repeatable, dynamic & scalable models
Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
Explore, curate and connect external data sets for broad enterprise-wide analytic usage
Be a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams
Identify and develop long-term data science processes, frameworks, tools, and standards
Experience with supervised machine learning models.
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
Knowledge and usage of Agentic / Generative tools
MINIMUM QUALIFICATIONS - Minimum qualification- Bachelor's in Technology/ Engineering/Science. - Total analytics experience required 4-6 Years.
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
57 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Good verbal and written communication skills. - Expert level understanding -Python, Exploratory data analysis, Inferential Statistics. - Any Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.
- Any Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization. - Intermediate Level Understanding - R & SQL. Any Cloud platform. Preferred: Google Cloud Platform – Vertex AI, BQ, Composer). - Basic Level Understanding - Tableau, Looker, Deep Learning
- Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups. - Technical understanding of cloud platforms and ability to utilize data from a variety of data sources like big query, flat files, cloud storage. - Strong attention to detail & accuracy.
- Intermediate Level Understanding - R & SQL. Any Cloud platform. Preferred: Google Cloud Platform – Vertex AI, BQ, Composer). - Basic Level Understanding - Tableau, Looker, Deep Learning PREFERRED QUALIFICATIONS
Complete your application on genmills.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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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
General Mills, Digital and Technology India, is seeking a Data Scientist II to join the Data Science team. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, logistics optimization, price optimization, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.
KEY ACCOUNTABILITIES
Develop novel ways to help business partners achieve objectives through analysis & modelling
Think outside the box to identify & test new sources of information that unlock new business value
Explore, curate and connect external data sets for broad enterprise-wide analytic usage
Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
Utilize machine learning models to create repeatable, dynamic & scalable models
Be a storyteller to explain the ‘why & how’ of your data driven recommendations to cross-functional teams
Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists
Collaborates with technical teams like development and infrastructure.
Able to explore, troubleshoot on niche technologies and provide automation solutions.
Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods
Identify and develop long-term data science processes, frameworks, tools, and standards
Be a part of innovation team to partner in developing accelerators and Agentic solutions for Data Science team productivity.
MINIMUM QUALIFICATIONS
Minimum qualification- Bachelor's in Technology/ Engineering/Science.
Total analytics experience required 4-6 Years.
Experience with supervised machine learning models.
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
Technical understanding of cloud platforms and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.
Strong attention to detail & accuracy.
Good collaboration skills and ability to communicate insights through clear, simple stories.
Good verbal and written communication skills.
Expert level understanding -Python, Exploratory data analysis, Inferential Statistics.
Any Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.
Intermediate Level Understanding - R & SQL. Any Cloud platform. Preferred: Google Cloud Platform – Vertex AI, BQ, Composer).
Basic Level Understanding - Tableau, Looker, Deep Learning
PREFERRED QUALIFICATIONS
Knowledge and usage of Agentic / Generative tools
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Powai, Mumbai, MH
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.