Data Scientist - RGM & Pricing Optimization

Job Title: Data Scientist

Location: Bangalore

Work Mode: Hybrid (2-3 days in office)

Revenue Growth Management (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, and Decision trees.

- Strong conceptual knowledge in statistics.

- Experience in 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, and Streamlit.

Business & Stakeholder Skills:

- Strong communication skills, ability to explain model outputs in business language, and conduct model validation/UAT.