Data Scientist – Demand Forecasting

3 weeks ago


Hyderabad, Telangana, India Talent Linked Consultancy Full time
Job Description

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.

Requirements
Python/R/SQL, Azure Data Services, Machine Learning (ML) & Artificial Intelligence (AI), Big data & Distributed Computing: Apache Sparks / Delta lake architecture, Power BI & Visualization tools

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