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21 Talent Linked Consultancy Jobs
Data Scientist Demand Forecasting
9-15 years
Hyderabad / Secunderabad
1 vacancy
Data Scientist Demand Forecasting
Talent Linked Consultancy
posted 16d ago
Job Role Insights
Key skills for the job
Job Description
Job_Description":"
Position / Role: DataScientist 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
WorkingDays: 6 Days (Monday to Saturday)
Office Timings: General Day Shift
Job Responsibilities
Create forecasting models for Omni ChannelSupply Chain, integrating inputs from marketing / Category / Operations,Historical sales, Product Display page (PDP) views, Online search, Offlinestore bounce etc.
Create demand signals for both retail and online businesses and improve models throughiterative simulations.
Create a data pipeline to capture demand andsales patterns on a real time basis.
Create and measure Supply Chain metrics (MAPEetc) and build automated dashboards to measure the forecasting accuracy /efficiency.
Work with multiple teams and provide insightson growth levels, focus areas, Average Bill Value (ABV) improvements
Identify high value customers, their buyingpatterns and create strategies to improve customer retention and conversion.
Create demand signals for both retail and online businesses and improve models throughiterative simulations.
Create a data pipeline to capture demand andsales patterns on a real time basis.
Create and measure Supply Chain metrics (MAPEetc) and build automated dashboards to measure the forecasting accuracy /efficiency.
Work with multiple teams and provide insightson growth levels, focus areas, Average Bill Value (ABV) improvements
Identify high value customers, their buyingpatterns and create strategies to improve customer retention and conversion.
DesiredJob 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 dataorchestration.
o Azure Synapse Analytics Data warehousing andanalytics.
o Azure Data Lake Storage (ADLS) Scalable datastorage.
o Azure Blob Storage Unstructured datastorage.
o Azure DevOps CI/CD pipelines for ML models
Previous experience in Machine Learning (ML)Artificial Intelligence (AI) modelling