D&T Data Scientist I

Genl Mills India Priv LTD; Mumbai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

General Mills India Pvt Ltd in Mumbai seeks a Data Scientist II to join the Digital and Technology India Data Science team. You will build enterprise automations and ML solutions for use cases like demand forecasting, pricing, and analytics, while driving data-driven decisions across functions.

Required: 4–6 years analytics, expert Python, Exploratory Data Analysis, Inferential Statistics, and experience with cloud platforms (BigQuery, Vertex AI, GCP).

Qualifications

• Bachelor's degree in Technology/Engineering/Science.
• 4–6 years analytics experience.
• Experience with supervised machine learning models.
• Familiar with Agile development with sprints.
• Cloud platforms and data sources like BigQuery, cloud storage.
• Strong attention to detail & communication of insights.
• Expert level: Python, Exploratory Data Analysis, Inferential Statistics.
• Must have: Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.
• Intermediate: R & SQL. Any Cloud platform.
• Preferred: Google Cloud Platform – Vertex AI, BQ, Composer.
• Basic: Tableau, Looker, Deep Learning.

Responsibilities

• Develop analytics methods to help business partners achieve objectives.
• Test new data sources to unlock business value.
• Curate and connect external datasets for enterprise analytics.
• Engineer features using business insight for optimal results.
• Utilize ML models to create scalable, repeatable solutions.
• Explain the rationale of data-driven recommendations to cross-functional teams.
• Collaborate with data scientists and with development/infrastructure teams.
• Explore, diagnose niche technologies and provide automation solutions.
• Advocate for data-driven decision making and analytics methods.
• Define long-term data science processes, tools and standards.
• Partner in developing accelerators for team productivity.

Skills

Python

Exploratory Data Analysis

Inferential Statistics

Predictive Modeling

Forecasting

Market Mix Modeling

Bayesian

Linear Optimization

Network Optimization

Communication

Agile/Sprints

Education

Bachelor's degree in Technology/ Engineering/ Science

Tools

BigQuery

Cloud Storage

Vertex AI

Composer

Pandas

scikit-learn

Tableau

Looker

GCP

Job description

COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. 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.

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
• 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
• Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists
• Collaborates with technical teams like development and infrastructure.
• Able to explore, troubleshoot on niche technologies and provide automation solutions.
• 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 innovation team to partner in developing accelerators and Agentic solutions for Data Science team productivity.

MINIMUM QUALIFICATIONS

• Minimum qualification- Bachelor's in Technology/ Engineering/Science.
• Total analytics experience required 4-6 Years.
• Experience with supervised machine learning models.
• Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
• Technical understanding of cloud platforms and ability to utilize data from a variety of data sources like big query, flat files, cloud storage.
• Strong attention to detail & accuracy.
• Good collaboration skills and ability to communicate insights through clear, simple stories.
• Good verbal and written communication skills.
• Expert level understanding -Python, Exploratory data analysis, Inferential Statistics.
• Any Two Must Have -Predictive Modeling, Forecasting, Market Mix Modeling, Bayesian, Linear Optimization, Network Optimization.
• Intermediate Level Understanding - R & SQL. Any Cloud platform.
• Preferred: Google Cloud Platform – Vertex AI, BQ, Composer).
• Basic Level Understanding - Tableau, Looker, Deep Learning

PREFERRED QUALIFICATIONS

• Knowledge and usage of Agentic / Generative tools

ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.

New possibilities. Bold thinking. Real heart. Build remarkable brands with remarkable people. At General Mills, we make food the world loves. Across 100+ markets, we come together to create, innovate and grow. Here, you’ll do meaningful work and help to lead the future of food at a company that stands for good.