Senior Data Scientist

Job Description
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
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, 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, 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, Data Management and Tools
Work with large datasets to clean, preprocess, and analyze data
Location(s)
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,