D&t Data Scientist I

**Job Description**: **Position Title** D&T Data Scientist I **Function/Group** Digital and Technology **Location** Mumbai **Shift Timing** Regular **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 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. We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. **JOB OVERVIEW** **Function Overview** 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 provided Link **Purpose of the role** The 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 ‘why & how’ 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 - Full time graduation from an accredited university (Mandatory - Note: This is the minimum education criteria which cannot be altered) - Bachelor’s 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 expectations Expert 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