Sr Manager, Data Scientist - Operations

About the role

Kraft Heinz is hiring a Sr Manager, Data Scientist (Manager, Data Science - Operations) in Bengaluru. The role leads data science, AI, optimization and advanced analytics initiatives across Manufacturing, Supply Chain, Demand Planning and Product Formulation functions, working with business stakeholders and operational leaders to turn their needs into scalable data science solutions.

Key responsibilities

• Lead the identification, prioritization and execution of advanced analytics, machine learning, optimization and AI initiatives across the four functions mentioned.
• Partner with business stakeholders and operational leaders to define analytical roadmaps and translate requirements into solutions.
• Mentor Data Scientists, Data Engineers, Analytics professionals and cross-functional project teams without direct people management responsibility.
• Communicate insights, recommendations, business cases and project outcomes to senior leadership in clear, business-friendly language.
• Design and oversee predictive, prescriptive and optimization models that improve efficiency, forecasting, inventory management, production planning and product development.
• Champion best practices in data science, AI, model governance, experimentation and responsible AI.
• Evaluate emerging technologies and industry trends to strengthen business capabilities.

Required profile

• Master's degree in Data Science, Computer Science, Engineering or Statistics.
• Minimum 10 years of progressive experience in Data Science, Analytics, Operations Research, Machine Learning or Advanced Analytics.
• Demonstrated experience supporting Manufacturing, Digital Twin, Supply Chain, Demand Planning, Production Planning, Inventory Optimization, Procurement or Product Formulation functions.
• Proven track record delivering value through predictive analytics, optimization, simulation, statistical modeling and AI solutions.
• Experience leading complex, cross-functional initiatives and turning ambiguous business challenges into analytical frameworks.
• Preferred: experience in CPG, Food & Beverage, Manufacturing, Supply Chain or Operations environments.

Required skills

• Experience with cloud-based analytical platforms and modern data ecosystems.
• Predictive analytics, optimization, simulation, statistical modeling and AI solutions.