Data Scientist
Core
Build, operationalize, and maintain production-grade retail forecasting and optimization models on Databricks Lakehouse.
Role type
senior IC machine-learning engineer (retail forecasting)
Builds
item-store level demand forecasts and downstream replenishment/optimization engines
Domain
retail supply chain + machine learning
Deliverable
production ML models
Required skills
LightGBM, CatBoost, PySpark, Databricks Workflows, MLflow, time-series forecasting, Python
Preferred skills
inventory optimization, Delta Live Tables, Unity Catalog, TreeSHAP, CI/CD pipelines
Technologies
Databricks, Delta Lake, MLflow, LightGBM, CatBoost, PySpark, pytest, Git
Responsibilities
Develop and tune time-series forecasting engines; build automated training and batch inference pipelines; implement pre-inference data validation gates; monitor pipeline health and feature drift; write modular, testable code with CI/CD checks.
Seniority
Senior, hands-on IC
