Senior Applied AI/ML Scientist - Retailer
Core
Build ML models to optimize logistics costs, evaluate retailer creditworthiness, and predict lifetime value to empower local retailers.
Role type
Senior Applied AI/ML Scientist (Retailer)
Builds
Shipping cost estimation models, dynamic credit limit models, retailer personalization and acquisition models
Domain
Wholesale retail marketplace, credit underwriting, logistics optimization
Deliverable
production ML models
Required skills
Machine learning (Sklearn, XGBoost, Deep Learning), Python, Java, Kotlin, C++, statistical techniques (experimentation, causal inference), SQL
Preferred skills
Database querying experience
Technologies
Sklearn, XGBoost, Deep Learning, Python, Java, Kotlin, C++, SQL
Responsibilities
Build ML models for shipping cost optimization; Develop predictive models for dynamic credit term assignment; Create models for retailer landing page generation and personalization; Predict retailer lifetime value to optimize acquisition spend
Seniority
Senior, hands-on IC
