Required Qualifications :
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 3+ years of experience building and deploying ML models in enterprise environments.
- Proficiency in PySpark , Python, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Hands-on experience with Databricks , Azure ML , AWS SageMaker , or Google Vertex AI .
- Strong coding skills and experience with scalable data workflows and model deployment.
- Familiarity with GenAI , LLMs , and NLP techniques.
- Ability to work independently and manage priorities in a fast-paced environment.
- Availability to support meetings or calls outside standard working hours as needed.
Preferred Skills :
Experience with time-series demand forecasting , margin-aware modeling , text summarization, and stock-based recommendations .Exposure to multi-modal data and personalization strategies across digital ecosystems.We are seeking a highly capable Data Scientist to help build and scale enterprise-grade AI / ML products within our centralized Data Science team. This role focuses on developing intelligent, production-ready solutions that power personalization, forecasting, and automation across our digital platforms. The ideal candidate is a strong problem-solver, able to work independently, and comfortable supporting collaboration across time zones—including occasional calls outside standard working hours.