Senior Applied AI/ML Scientist - Retailer
Posted
$211,000 – $290,500 USD
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.
Soft Skills
ExperimentationCross-Functional Collaboration
Benefits
- Equity
- Health Insurance
- Flexible PTO
- Flexible Hours
Culture
Fast-PacedWork-Life BalanceTransparent LeadershipInclusive HiringCross-Functional Teams
Requirements
Required: An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
Regions: Us
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About Faire
Industry: e-commerce
Size: medium
Faire is an online wholesale marketplace connecting independent retailers with products from around the world, using technology, data, and machine learning to empower small businesses. The company focuses on supporting local communities globally by enabling entrepreneurs to compete with larger entities.
View company profile →Compensation
Base salary: $211,000 – $290,500 USD
Equity: eligible for equity