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D&T Data Scientist I

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 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Experience with supervised machine learning models.
  • Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.

Preferred experience

  • Knowledge and usage of Agentic / Generative tools
Qualification wording
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
Education & alternatives
MINIMUM QUALIFICATIONS - Minimum qualification- Bachelor's in Technology/ Engineering/Science. - Total analytics experience required 4-6 Years.
Apply at General Mills

Posting record

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Actively 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 24, 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

Time since we first saw it

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.

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
Hiring record

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
  • BigQuery
  • Looker
  • Tableau
  • GCP
Where the posting names them
- 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

Your next step

Complete your application on genmills.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

View original posting ↗

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Location & working pattern

Powai, Mumbai, MH

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