D&T Data Scientist I

Role 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.

Responsibilities

• 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
• Collaborate with technical teams like development and infrastructure
• Explore, troubleshoot on niche technologies and provide automation solutions
• Identify and develop long-term data science processes, frameworks, tools, and standards
• Partner in developing accelerators and Agentic solutions for Data Science team productivity

Requirements

• Bachelor's in Technology/ Engineering/Science
• 4-6 years of total analytics experience
• Experience with supervised machine learning models
• Experience working with an Agile development methodology
• Technical understanding of cloud platforms and ability to utilize data from sources like BigQuery, flat files, and cloud storage
• Expert level understanding of Python, Exploratory Data Analysis, and Inferential Statistics
• Proficiency in Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, or Network Optimization
• Intermediate level understanding of R, SQL, and cloud platforms (Preferred: Google Cloud Platform, Vertex AI, BigQuery, Composer)
• Basic level understanding of Tableau, Looker, and Deep Learning

Skills

• Python
• SQL
• Machine Learning
• Google Cloud Platform
• Tableau

Nice to Have

• Knowledge and usage of Agentic / Generative tools