# Staff Applied Scientist, LTV Modeling at Faire

- Company: Faire
- What the company does: Backed by Founders Fund, Lightspeed and Norwest.
- Company website: https://faire.com/
- Type: Startups (AI role)
- Level: Senior
- Location: New York City, NY; San Francisco, CA
- Work setup: On-site
- Posted: 2026-09-11
- Apply by: 2026-10-26
- Apply: https://boards.greenhouse.io/faire/jobs/8801834002?gh_jid=8801834002
- Page: https://www.1752.vc/careers/jobs/faire-staff-applied-scientist-ltv-modeling/

## About the role

As a Staff Applied Scientist on the Discovery team, you'll own how Faire measures and optimizes the long-term value of a discovery impression — one of the highest-leverage open problems on our marketplace. Our rankers today optimize for order conversion, helping retailers find brands and products they love. But we know our ranking algorithms can do more: helping retailers find not just products they love, but brands they can build long-lasting, successful partnerships with.

## What they're looking for

- 5+ years applying ML and statistical modeling to real business problems, shipping to production
- Deep causal inference expertise — quasi-experimental methods, rigorous confounder control, and healthy skepticism of analytical results
- Strong experimentation design skills, especially long-horizon experiments — surrogate/proxy metrics and variance reduction for sparse, delayed outcomes
- Baseline knowledge of search and recommendation systems on e-commerce or marketplace platforms
- Strong statistical analysis and data engineering skills — SQL/ETL and data transformation at scale
- An excitement and willingness to learn new tools and techniques

Tags: Algorithms & Data