Data Scientist

We are looking for a highly motivated Demand Forecasting Analyst with hands-on experience in building, improving, and managing demand forecasting models for retail businesses. The candidate will play a key role in leveraging data-driven forecasting techniques to optimize inventory, improve supply chain efficiency, and enhance business decision-making. The role requires a strong business understanding of retail operations, combined with technical expertise in AWS cloud services, forecasting techniques, and stakeholder communications.

Responsibilities

• Develop, implement, and maintain demand forecasting models tailored to retail business needs.
• Analyze historical sales data, seasonal patterns, promotions, and external market factors to improve forecast accuracy.
• Collaborate with cross-functional teams (merchandising, supply chain, finance) to understand business requirements and translate them into forecasting solutions.
• Leverage AWS services (Amazon Forecast, S3 Lambda, Glue, Redshift, QuickSight, SageMaker, etc. ) for data preparation, modelling, deployment, and reporting.
• Continuously monitor forecast performance and refine models to reduce forecast error (MAPE, WAPE, etc. ).
• Provide actionable insights and recommendations to stakeholders for inventory management, pricing, and demand planning. Create dashboards and reports to track key forecasting KPIs for business teams.
  
  

Requirements

• 1-2 years of experience in demand forecasting within retail (FMCG, e-commerce, fashion, or grocery retail preferred).
• Strong understanding of retail demand drivers such as seasonality, promotions, new product launches, and external factors.
• Hands-on experience with AWS services such as Amazon Forecast for building forecasting models. Amazon S3 Glue, Redshift for data storage, and ETL. Amazon SageMaker for model customization and fine-tuning. o Amazon QuickSight for reporting and dashboards.
• Proficiency in Python for data analysis and modelling.
• Familiarity with forecasting methods (ARIMA, DeepAR, Prophet, ML-based forecasting, regression, etc. ).
• Strong analytical skills with the ability to interpret data and provide business insights. Excellent communication and presentation skills to interact with both technical and non-technical stakeholders.
  
  

Good To Have

• Experience with time-series modelling in retail.
• Knowledge of inventory optimization and supply chain planning.
  
  

This job was posted by Rituza Rani from Oneture Technologies.