Data Scientist Demand Forecasting

Position / Role: Data Scientist Demand Forecasting Department: Supply Chain Location: Hyderabad Experience: Min 5 to Max 10 Years Qualification: B.Tech (Preferably Computer science / Data Analytics), MBA / Masters (preferable) Industry / Sector: Any Working Days: 6 Days (Monday to Saturday) Office Timings: General Day Shift 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 and online businesses and improve models through iterative simulations. Create a data pipeline to capture demand and sales patterns on a 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. .