Job Description :

- Position Title
- Sr. D&T; Data Scientist
- Function/Group
- Digital & Technology
- Location
- Mumbai India
- Shift Timing
- Regular
- Role Reports to
- D&T; Manager - Data Science
- Remote/Hybrid/in-Office
- Hybrid - ABOUT GENERAL MILLS - JOB OVERVIEW - Function Overview

The team places a robust 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. - KEY ACCOUNTABILITIES

Deliver on business problems :

- Partners with business stakeholders to deliver value-added insights and intelligent solutions through ML and AI.
- Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally, ensure support for the post-production to ensure model performance degradation is proactively managed.
- Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.
- Provide consultation and review the deliveries for the junior data scientists.
- Is considered an expert in at least one of the functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.





Consultation :

- Lead Interactions with stakeholders to learn about the problem statement and drive results.

- Be an advocate for the data science team.

- Constructively challenge the other data scientists on the approach

- Contribute to best practices as we evaluate new platforms, tools, and pipelines.

- Mentor Jr. Data Scientist / Interns / Contractors

- Collaborate with analytic leaders across functions. - Stakeholder Management :

- Manage the assigned priorities, consistency of execution and managing resources.

- Develop trust and credibility with business leaders.

- Educate stakeholders on the GCP analytic practices.

- 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.

- Leverage and contribute to new open-source innovation. - MINIMUM QUALIFICATIONS





- Total analytics experience required: 10+ years of relevant experience

- 5+ yrs in supply chain analytics with a strong understanding of supply chain operations, inventory management, manufacturing, and distribution

- Bachelor’s or Master's degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from a Tier 1 institute.

- Proven implementation of ML and AI practices

- Expertise in supervised ML algorithms, OLS regression, naive bayes approach, linear attribution model, time decay model, Markov chains, along with linear optimization and performance tuning

- Proficiency in the FMCG/CPG domain

- Technical Platform

- include proficiency on Google Cloud Platform, SQL, Python, and R

- Technical Concepts

- MLOps, Containerization, Data Lineage, and Visualization

- Experience working with an Agile development methodology featuring sprints, point estimation, and daily stand-ups.

- Excellent stakeholder management skills and storytelling skills

- Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks

- Proven implementation of ML and AI practices

- Exposure to unsupervised learning and NLP

- Technical concepts and platforms

- MLOps, Containerization, Data Lineage, and Visualization.

- Proficiency in Cloud Platform (GCP preferred), SQL, Python, and R

PREFERRED QUALIFICATIONS

- Experience with Cyber Security fundamentals
- Advanced AI/ Deep Learning techniques

📌 Sr. D&t Data Scientist (Mumbai)
🏢 General Mills
📍 Mumbai