General Mills
Location
Mumbai | India
Job description
General Mills, Digital and Technology India, is seeking a Sr Data Scientist to join the Data Science team in the Enterprise Data Capabilities function. 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, optimization, price optimization, logistics, 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.
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
Minimum qualification- bachelor s degree (full time)
Total analytics experience required 10-12 Years.
5+ yrs in a marketing analytics with strong understanding of digital media strategy and the ever-evolving attribution landscape
Advance data science experience focused on econometric modelling, marketing analytics, market mix modelling, multi-touch attribution, micro segment attribution, unified measurement, marketing budget optimization/performance marketing, TV attribution.
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 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
Bachelor s Degree in Computer Science/Statistics/Applied Mathematics from Tier 1 institute.
Good to have skills
Knowledge of Advanced AI/Deep Learning techniques
Skill proficiency expectations
Marketing Analytics
Google Cloud Platform Vertex AI, BQ, Composer
ML supervised algorithms
FMCG/CPG domain
Python, SQL
MLOps
Google Cloud Architecture
Deep Learning
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