Data Scientist / Analyst / Customer Success( AI-Driven Supply Chain Optimization)
Core
Data Scientist/Analyst/Customer Success professional delivering AI-driven supply chain optimization for enterprise clients, focusing on inventory management and operational efficiency.
Role type
Senior IC data scientist with client-facing responsibilities
Builds
AI-driven inventory optimization models, data extraction algorithms, and structured reports/dashboards
Domain
Supply chain management + AI/ML
Deliverable
production ML models
Required skills
Python (pandas, NumPy, regex), SQL, inventory management concepts (ROP, EOQ, safety stock), data analysis, client stakeholder management
Preferred skills
Machine learning, NLP, ERP systems (SAP), data visualization (Tableau, Power BI), supply chain forecasting
Technologies
Python, SQL, pandas, NumPy, regex, JSON, SAP, Tableau, Power BI
Responsibilities
Analyze large-scale inventory and supply chain datasets; Develop and refine data extraction algorithms and duplicate detection models; Build models incorporating demand patterns and lead times; Create structured reports and dashboards for business validation; Serve as primary point of contact for client stakeholders and present insights; Translate complex technical concepts into business language and actionable recommendations.
Seniority
Mid-level (2–5 years experience), hands-on IC with client engagement
