Job Description

:Position TitleD&T Data Scientist IFunction/GroupDigital and TechnologyLocationMumbaiShift TimingRegularRole Reports toManager Data ScienceRemote/Hybrid/in-OfficeHybridABOUT GENERAL MILLSWe make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H\xc3\xa4agen-Dazs, we\xe2\x80\x99ve 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 accelerateus 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 outGeneral 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 outWe advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.JOB OVERVIEWFunction OverviewThe 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 providedPurpose of the roleThe Digital and Technology team of General Mills India Centre is looking for a Data Scientist to join our data science team that is tasked with collaborating with and enabling existing functional data science and analytics teams. This team also provides data science expertise and services to advance initiatives around , optimization ,demand forecasting, text classification, operational analytics, and machine learning to name just a few. It is 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
• Curate and connect external data sets for broad enterprise-wide analytic usage
• Be a storyteller to explain the \xe2\x80\x98why & how\xe2\x80\x99 of your data driven recommendations to cross-functional teams
• Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results
• Utilize machine learning to create repeatable, dynamic & scalable models
• 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 the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists Consultation
• Collaborates with technical teams like development and infrastructure.
• Able to explore, troubleshoot on niche technologies and provide automation solutions

MINIMUM QUALIFICATIONS

• Education \xe2\x80\x93 Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered)
• Bachelor\xe2\x80\x99s degree (full time) in Computer Science/ Information technology/ Mathematics/ Statistics.
• Overall 5+yrs of Industry experience
• 2+ years of relevant experience of working as a data scientist on desired skills.
• Experience in predictive forecasting, market mix modelling, linear optimization, network optimization
• Technical understanding of cloud and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.
• Understanding of data warehousing & databases.
• Understanding / experience of CPG industry is desirable.
• Bias for action with ability to deliver outstanding results through task prioritization & time management.
• Exemplary attention to detail & accuracy
• Experience with machine learning
• Experience with data visualization tools
• Experience writing complex SQL queries.
• Excellent communication skills- verbal and written.

Skill proficiency expectationsExpert Level -

• Python
• Exploratory Data Analysis
• Any two
• Predictive Forecasting
• Market Mix Modelling
• Linear Optimization
• Network Optimization

Intermediate Level -

• SQL, Oracle, Any RDBMS
• PL/SQL
• R
• Inferential Statistics
• Machine Learning Algorithms

Basic Level -

• GCP cloud architecture
• Tableau, Looker
• Deep Learning

PREFERRED QUALIFICATIONS

• GCP certification
• Mathematical, Statistical , OR background

General Mills