Data Scientist (Analytics)

1. Develop end-to-end ML pipelines in Python or R for forecasting applications.
2. Work closely with business stakeholders to align ML models with real-world demand drivers and retail planning cycles.
3. Collaborate cross-functionally to deploy, monitor, and iterate ML models in production.

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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