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Job Type

Full Time

Job Description

Advanced Analytics & Model Development:
  • Design, develop, and deploy machine learning models and algorithms to solve complex supply chain challenges
  • Create predictive analytics models for demand forecasting, spend optimization, and supplier risk assessment
  • Implement natural language processing techniques to analyze unstructured supplier data and market intelligence
  • Develop classification and clustering models to optimize supplier segmentation and category strategies
  • Build and maintain robust data pipelines to ensure seamless data flow and model performance

Supply Chain Optimization & Risk Analytics

  • Create digital twin simulations and scenario analysis tools to evaluate supply chain vulnerabilities
  • Develop risk scoring models that quantify supplier, geopolitical, and market risks
  • Build optimization algorithms to enhance inventory management, logistics routing, and warehouse operations
  • Design analytical solutions that identify cost-saving opportunities across the supply chain
  • Implement anomaly detection systems to identify procurement fraud and compliance risks

Sustainability & ESG Analytics

  • Develop carbon footprint calculation models across the supply chain
  • Create supplier sustainability scoring methodologies and dashboards
  • Build analytical tools to measure and optimize environmental impact of sourcing decisions
  • Implement traceability solutions using data science techniques for sustainable material sourcing
  • Design metrics and KPIs to track progress toward sustainability goals

Data Visualization & Reporting

  • Create intuitive, interactive dashboards that communicate complex supply chain insights
  • Develop automated reporting solutions that track key performance metrics
  • Design data visualization tools that enhance decision-making capabilities
  • Translate technical findings into business-friendly presentations and reports
  • Build real-time monitoring solutions for critical supply chain processes

Continuous Innovation & Knowledge Sharing

  • Research and implement emerging data science techniques relevant to supply chain
  • Collaborate with cross-functional teams to identify new use cases for analytics
  • Conduct knowledge sharing sessions to enhance data literacy across the organization
  • Develop proof-of-concepts for innovative applications of AI/ML in sourcing
  • Stay updated on latest developments in data science and share insights with the team

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