Staff Applied Scientist, LTV Modeling
Posted
Tech Stack
Responsibilities
- Own how Faire measures and optimizes the long-term value (LTV) of a discovery impression on the marketplace
- Create the initial LTV framework, form hypotheses, and lay out the experimentation roadmap to validate and refine it
- Lead the implementation of v0 of the LTV model into a long-running ranking experiment
- Deliver the long-term surrogate metric predictive of long-term value accounting for confounding factors
- Own the LTV model tech stack and operating standards across search, reorder, and ads
Benefits
- Equity
- Remote Work
Culture
Hybrid WorkCross-Functional TeamsFast-PacedInclusive Hiring
Requirements
Preferred: PhD in CS, Stats, Economics, OR, or a related STEM field
Regions: Us
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About Faire
Industry: saas
Size: medium
Faire is a technology wholesale marketplace platform that uses machine learning and data to connect independent retailers and brands across the globe.
View company profile →Compensation
Equity: Eligible for equity
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