Data Science Architect - 1

1. Lead the design and development of advanced ML forecasting solutions in supply chain and retail merchandise financial planning domains.

2. Build end-to-end ML pipelines using Python/R for time series forecasting and predictive modeling

3. Drive innovation and improve existing forecasting strategies by integrating advanced ML techniques.

Overview

• Industry - IT - Software / Product Development
• Functional Area - Data Analytics & Business Intelligence / Statistics
• Job Role - Data Science Associate
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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