Job Responsibilities:
- Create forecasting models for Omni Channel Supply Chain, integrating inputs from marketing / Category / Operations, Historical sales, Product Display page (PDP) views, Online search, Offline store bounce etc.
- Create demand signals for both retail (Apollo Pharmacy) and online (Apollo 24|7) businesses and improve models through iterative simulations.
- Create a data pipeline to capture demand and sales patterns on real time basis.
- Create and measure Supply Chain metrics (MAPE etc) and build automated dashboards to measure the forecasting accuracy / efficiency.
- Work with multiple teams and provide insights on growth levels, focus areas, Average Bill Value (ABV) improvements
- Identify high value customers, their buying patterns and create strategies to improve customer retention and conversion.
Desired Job Knowledge/Skills:
- In-depth knowledge of Python/R/SQL.
- Good command over Azure Data Services:
o Azure Data Fabric - Data integration, processing, and management.
o Azure Data Factory - ETL and data orchestration.
o Azure Synapse Analytics - Data warehousing and analytics.
o Azure Data Lake Storage (ADLS) - Scalable data storage.
o Azure Blob Storage - Unstructured data storage.
o Azure DevOps - CI/CD pipelines for ML models
- Previous experience in Machine Learning (ML) & Artificial Intelligence (AI) modelling
- Experience with Big data & Distributed Computing: Apache Sparks / Delta lake architecture
- Hands on experience in Power BI & Visualization tools
- Previous experience in building ML/AI modelling and Demand forecasting.
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