The Data Scientist – Operations will play a key role in transforming operational processes through advanced analytics and data-driven decision-making. This role focuses on optimizing supply chain, manufacturing, and overall operations by developing predictive models, streamlining workflows, and uncovering insights to enhance efficiency and reduce costs.

Key Responsibilities:
1. Advanced Analytics and Data Modeling:
• Develop predictive models for demand forecasting, inventory optimization, and supply chain resilience.
• Leverage machine learning techniques to optimize production schedules, logistics, and procurement.
• Build algorithms to predict and mitigate risks in operational processes.
2. Operational Efficiency:
• Analyze manufacturing and supply chain data to identify bottlenecks and recommend process improvements.
• Implement solutions for waste reduction, cost optimization, and improved throughput.
• Conduct root cause analysis for operational inefficiencies and develop actionable insights.
3. Collaboration with Stakeholders:
• Partner with operations, supply chain, and procurement teams to understand analytical needs and deliver insights.
• Collaborate with IT and data engineering teams to ensure data availability and accuracy.
• Present findings and recommendations to non-technical stakeholders in an accessible manner.
4. Data Management and Tools:
• Work with large datasets to clean, preprocess, and analyze data

Ahmedabad – Venus Stratum GCC

Kraft Heinz is an Equal Opportunity Employer – Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.