Data Scientist

Thane, India

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

Short Info

Posted: 0 day(s) ago

Location: Thane

Qualifications: Essential: B.E/B.Tech in Computer Science, Data Science, Statistics, or related field Preferred: Ma

Experience: 3 Years - 0 Months To 7 Years - 0 Months

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