Sr. D&T Data Scientist
Location: India-Mumbai-SPECTRA
Category: Digital & Technology
Employment Type: FULL_TIME
Tags: India
Position Title | Sr Data Scientist | Function/Group | Digital & Technology |
Location | Mumbai India | Shift Timing | 11 AM – 8 PM |
Role Reports to | Manager Data Science | Remote/Hybrid/in-Office | Hybrid |
The post will close on 05/29/25 at 11:59 PM IST
ABOUT GENERAL MILLS
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
JOB OVERVIEW
KEY ACCOUNTABILITIES
Deliver on business problems:
Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.
Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way.
Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.
Provide consultation and review the deliveries for the junior data scientists.
Recognizes opportunities to apply external industry trends and implements them within role.
Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.
Consultation:
Lead Interactions with stakeholders to learn on problem statement and drive results.
Be an advocate for data science team.
Constructively challenge the other data scientists on approach
Contribute to best practices as we evaluate new platforms, tools and pipelines.
Mentor Jr. Data Scientist / Interns / Contractors
Collaborate with analytic leaders across functions.
Stakeholder Management:
Manage the assigned priorities, consistency of execution and managing resources.
Develop trust and credibility with business leaders.
Educate stakeholders on the GCP analytic practices.
Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.
Collaboration:
Works on problems of diverse scope.
Demonstrates good judgment in selecting methods and techniques.
Networks with senior internal and external personnel in own area of expertise.
Lead research work to new analytic trends aligned to business.
Demonstrates learning agility and ability to apply to work.
Leverage and contribute to new open-source innovation.
MINIMUM QUALIFICATIONS
Minimum qualification- bachelor’s degree (full time)
Total analytics experience required 10-12 Years.
Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
5+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution
Proven implementation of ML and AI practices
Expertise in supervised ML algorithms, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning
Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.
Technical Platform- include proficiency on Google Cloud Platform, SQL, Python and R
Technical Concepts- MLOps, Containerization, Data Lineage and Visualization
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
Excellent stakeholder management skills and storytelling skills
Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.
AI/ML
Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks
Proven implementation of ML and AI practices
Exposure to unsupervised learning and NLP
Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization.
Proficiency on Cloud Platform( GCP preferable), SQL, Python and R
PREFERRED QUALIFICATIONS |
Knowledge of Advanced AI/Deep Learning techniques
Responsibilities
Position Title | Sr Data Scientist | Function/Group | Digital & Technology |
Location | Mumbai India | Shift Timing | 11 AM – 8 PM |
Role Reports to | Manager Data Science | Remote/Hybrid/in-Office | Hybrid |
The post will close on 05/29/25 at 11:59 PM IST
ABOUT GENERAL MILLS
We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.
JOB OVERVIEW
KEY ACCOUNTABILITIES
Deliver on business problems:
Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.
Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way.
Additionally ensure support the post-production to ensure model performance degrades are proactively managed.
Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.
Provide consultation and review the deliveries for the junior data scientists.
Recognizes opportunities to apply external industry trends and implements them within role.
Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.
Consultation:
Lead Interactions with stakeholders to learn on problem statement and drive results.
Be an advocate for data science team.
Constructively challenge the other data scientists on approach
Contribute to best practices as we evaluate new platforms, tools and pipelines.
Mentor Jr. Data Scientist / Interns / Contractors
Collaborate with analytic leaders across functions.
Stakeholder Management:
Manage the assigned priorities, consistency of execution and managing resources.
Develop trust and credibility with business leaders.
Educate stakeholders on the GCP analytic practices.
Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.
Collaboration:
Works on problems of diverse scope.
Demonstrates good judgment in selecting methods and techniques.
Networks with senior internal and external personnel in own area of expertise.
Lead research work to new analytic trends aligned to business.
Demonstrates learning agility and ability to apply to work.
Leverage and contribute to new open-source innovation.
MINIMUM QUALIFICATIONS
Minimum qualification- bachelor’s degree (full time)
Total analytics experience required 10-12 Years.
Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
5+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution
Proven implementation of ML and AI practices
Expertise in supervised ML algorithms, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning
Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.
Technical Platform- include proficiency on Google Cloud Platform, SQL, Python and R
Technical Concepts- MLOps, Containerization, Data Lineage and Visualization
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
Excellent stakeholder management skills and storytelling skills
Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.
AI/ML
Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks
Proven implementation of ML and AI practices
Exposure to unsupervised learning and NLP
Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization.
Proficiency on Cloud Platform( GCP preferable), SQL, Python and R
PREFERRED QUALIFICATIONS |
Knowledge of Advanced AI/Deep Learning techniques
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