Data Scientist
Title: Data Scientist
Location: Hybrid - 2-3 days
RGM : Strong understanding of Revenue Growth Management, price elasticity, promotion, baseline, cannibalization/volume transfer, assortment, and pricing optimization
Machine Learning: Hands-on experience with Regression models, Bayesian, Decision tree. Strong conceptual knowledge in statistics. Model development, validation, feature engineering, diagnostics and model monitoring
Databricks & MLOps: Hands-on experience with Databricks, Spark, Delta Lake, MLflow, workflows, CI/CD, Git/Azure DevOps, and productionizing automated data/model pipelines.
Coding: Strong hands on experience in Python (code modularization, automation, code versioning), Basic SQL, Basic knowledge in Streamlit
Business & Stakeholder Skills: Strong communication, explain model outputs in business language, conduct model validation/UAT.
Good to have:
- Power BI
- UI/UX experience
- GenAI/LLM integration
- Databricks Apps
- API