Data Scientist1-2
Data Scientist1-2
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Job Description
Job Description:
Job Title: Data Scientist Supply Chain Operations
Data Scientist to collaborate with Data Analytics Engineers in delivering advanced insights
And predictive analytics for supply chain operations. This role
Involves leveraging statistical models machine learning algorithms and data visualization
Techniques to generate actionable insights that drive operational efficiency and strategic decisionmaking.
The ideal candidate will have a strong background in data science predictive modeling and Supply chain analytics along with expertise in Python SQL Tableau
Key Responsibilities:
Advanced Analytics & Insights Generation
Develop predictive models and statistical analyses to identify patterns trends and anomalies in supply chain data.
Partner with Data Analytics Engineers to create machine learning models that support key metrics such as ontime in full (OTIF) ontime delivery (OTD)
Forecasting inventory optimization etc
Build and maintain dynamic dashboards in Tableau to visualize insights KPIs and metrics for supply chain stakeholders.
Conduct root cause analyses to identify process inefficiencies bottlenecks and areas For improvement.
Data Collaboration & Model Deployment
Collaborate with crossfunctional teams (supply chain ops solution leads analytics engineers) to understand business needs and translate them into datadriven Solutions.
Work closely with Analytics Engineers to optimize data pipelines and ensure model outputs are integrated into reporting platforms and operational workflows.
Deploy machine learning models into production environments and continuously monitor performance to ensure accuracy and effectiveness.
Innovation & Process Improvement
Drive innovation by exploring emerging technologies advanced analytics techniques and automation solutions.
Identify opportunities for process optimization leveraging insights to inform strategic initiatives and improve supply chain efficiency.
Ensure that datadriven solutions align with best practices in data governance data privacy and compliance
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Employment Type
Full-Time
