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Job Description
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
More Info
Key Skills
GenAI
Automated data model pipelines
Code versioning
LLM integration
MLflow
CI CD
Feature engineering
Databricks Apps
Streamlit
Bayesian Decision tree
Delta Lake
UI UX experience
Code modularization
About Company
