The Senior Data Scientist will optimize operations and supply chain through predictive modeling and data analysis to enhance efficiency.
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:
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
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.
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
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.
Top Skills
Data Analytics
Data Management
Machine Learning
Predictive Modeling
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