Data Scientist - Analytics
Factspan Analytics
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Job Description
Role: Data Scientist
Company: Factspan Analytics
Experience: 6 to 10 Years
About the Role
We are looking for a Data-Driven Supply Chain Operations Specialist with deep expertise in retail demand forecasting, inventory optimization, and automated replenishment. In this role, you will leverage statistical modeling techniques to build accurate forecasting models, eliminate stock-outs, and streamline end-to-end retail supply chain operations.
Key Responsibilities
- Demand Forecasting: Build, validate, and deploy time-series forecasting models using ARIMA, SARIMA, and Prophet to predict SKU-level demand across retail locations.
- Inventory Optimization: Design and implement inventory policies to optimize safety stock, order quantities, and reorder points while balancing service levels and holding costs.
- Replenishment Strategy: Automate store and distribution center (DC) replenishment processes based on dynamic lead times, seasonality, and promotional trends.
- Supply Chain Analytics: Identify operational bottlenecks, track key performance indicators (OTIF, inventory turn rate, forecast accuracy/MAPE), and translate complex data into actionable supply chain insights.
Best Regards,
Sathishkumar Arumugam,
Principal Recruiter (Manager).
About The Company
Factspan Analytics
Factspan is a Data and AI company. We help global enterprises and product companies to collect, store, and manage their varied and complex data structures, identify patterns and trends, and build analytical models to analyze and deliver business outcomes. Trusted by many Fortune 500 companies, we deliver outcome-focused cloud data engineering and data science solutions for marketing & sales programs, merchandising, customer lifecycle, product management, supply chain, and risk analysis. www.factspan.com
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