​Senior Data Scientist (Retail Pricing & Customer Analytics)

We are looking for a strong Data Scientist with hands-on experience in:

Demand Forecasting
What-if / Scenario Simulation
Customer Segmentation
Customer Lifetime Value (CLTV)
Pricing Analytics / Price Optimization
Machine Learning & Advanced Analytics
Python & SQL

Preferred Domain:
Retail, E-commerce, Consumer Goods, Pricing & Revenue Management

AWS Skills:
SageMaker (Must Have)
Bedrock (Preferred)
Experience with AWS AI/ML ecosystem

We are also open to strong Data Scientists with significant AWS ML experience, particularly in SageMaker and Bedrock, even if their retail pricing experience is limited.