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General Mills
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D&T Data Scientist II

D&T Data Scientist II

General Mills

155 years

0 Lacs

mumbai maharashtra

Posted:3 weeks ago| Platform: SimplyHired logo

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Skills Required

computer science inventory management research master's degree sql bachelor's degree machine learning agile ai python analytics

Work Mode

Remote

Job Type

Full Time

Job Description

Mumbai-SPECTRA, India
Digital & Technology
35532

Position Title

Data Scientist II

Function/Group

Digital & Technology

Location

Mumbai India

Shift Timing

11 AM – 8 PM

Role Reports to

Manager Data Science

Remote/Hybrid/in-Office

Hybrid

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

Function Overview

The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents.

The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link

Purpose of the role

General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. 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, optimization, price optimization, logistics, 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

Deliver on business problems:

Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.

Develops AI solutions leveraging the best practices and enables maintainability and scalability.

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.

Recognizes opportunities to apply external industry trends and implements them within role.

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.

Stakeholder Management:

Manage the assigned priorities, assigned tasks and consistency of execution.

Develop trust and credibility with business leaders.

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 6-9 Years.
Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
3+ 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,
Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.

Must - have technical skills and experience

(Expertise in at least one among section1 and/or section2)

Section1-Operations Research(Optimization and simulation)

Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation problems
Must have hands on experience in solving enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem.
Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach.
Have worked in areas like network optimization, cutting stock, knapsack kind of problems, monte carlo and discrete event simulation
Must have worked in at least a couple of major commercial/open source OR tools and software like python, Google OR tools , IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc

Section-2- AI/ML

Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning
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

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D&T Data Scientist II