Senior Applied AI/ML Scientist - Retailer

Tech Stack

Responsibilities

• Build ML models to provide accurate shipping cost estimates, engineering new features to improve model performance, potentially using live carrier information and being performant and explainable.
• Improve Faire's Net terms portfolio by evaluating retailer creditworthiness and using predictive modeling to dynamically assign credit terms limits to minimize default risk and maximize growth.
• Develop models to automatically generate landing pages and content for search engine demand, leveraging natural language processing to understand keyword intent and match internal content.
• Build ML models to generate intelligence about retailers for personalization and predict retailer lifetime values to optimize acquisition spend.

Benefits

• Equity
• Remote Work

Culture

Requirements