Data Scientist

Position Title: Sr. D&T Data Scientist

Function/Group: Digital and Technology

Country: India

Location: Mumbai

Role Reports to: D&T Manager- Data Science

Remote/Hybrid/in-Office: Hybrid

About General Mills

We make foodsthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Hagen-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.

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General Mills India Centre

General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.

Digital and Technology team

Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leverage to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here.

Role Responsibilities Deliver on business problems:

• Partners with business stakeholders to deliver value add 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 the post-production to ensure model performance degrades are 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.
• Recognizes opportunities to apply external industry trends and implements them within role.
• Is considered an expert in at least one of functional areas; brings together business knowledge, resources, people, and technology to create more effective solutions.

Consultation:

• Lead Interactions with stakeholders to learn on problem statement and drive results.
• Be an advocate for data science team.
• Constructively challenge the other data scientists on 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.
• Demonstrates learning agility and ability to apply to work.
• Leverage and contribute to new open-source innovation.

Must - have technical skills and experience (Expert in section2 with exposure to section1)

Section1-Operations Research

• Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming problems
• Must have hands on experience in solving large scale enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem.
• Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach.
• Have worked in areas like network optimization, cutting stock, knapsack kind of problems
• Must have worked in at least a couple of major commercial/open source OR tools and software like Python, Google OR tools, IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc

Section-2- AI/ML

• 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 on Google Cloud Platform, SQL, Python and R

Other expertise and experience

• Total analytics experience required 10-12 Years.
• Bachelor's or master's degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
• 5+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution
• Proficiency in FMCG/CPG domain
• Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
• Excellent stakeholder management skills and storytelling skills

Good to have skills

• Knowledge of Advanced AI/Deep Learning techniques

Skill proficiency expectationsExpert levelIntermediate LevelBasic Level

• Supply chain analytics
• Google Cloud Platform Vertex AI, BQ, Composer
• ML supervised algorithms
• LP/MIP mathematical modelling
• FMCG/CPG domain
• Python, SQL
• MLOps
• Google Cloud Architecture
• Deep Learning