Staff Applied Scientist, LTV Modeling

About the Position

We are looking for a Staff Applied Scientist, LTV Modeling to join our team in New York City, NY or San Francisco, CA. At Faire, we believe in the power of local businesses and are using technology, data, and machine learning to connect independent retailers around the globe. This role is a unique opportunity to define a measurement problem from first principles and help retailers discover and build long-lasting partnerships with brands.

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. You'll build the LTV framework, design the experiments that validate it, and turn the result into a shared signal that all discovery algorithms can act on.

Responsibilities

• Own how we measure and optimize the long-term value of a discovery impression.
• Create the initial LTV framework and lay out the experimentation roadmap.
• Lead the implementation of v0 of the LTV model into a long-running ranking experiment.
• Deliver the long-term surrogate metric, accounting for confounding factors and uncertainties.
• Own the LTV model tech stack and operating standards.

Requirements

• 5+ years applying ML and statistical modeling to real business problems, shipping to production.
• Deep causal inference expertise.
• Strong experimentation design skills, especially long-horizon experiments.
• Baseline knowledge of search and recommendation systems on e-commerce or marketplace platforms.
• Strong statistical analysis and data engineering skills.
• Excellent communication skills and the ability to work in a highly cross-functional team.

Nice to Have

• PhD in CS, Stats, Economics, OR, or a related STEM field.
• LTV / lifetime-value optimization on a two-sided marketplace, e-commerce platform, or other recommendation systems.
• Deep learning, machine learning, or learning-to-rank techniques.

Salary Range

San Francisco & New York: the pay range for this role is $246,500 to $339,000 per year. This role will also be eligible for equity and benefits.

We Offer

• Move fast: Own meaningful problems that serve customers around the globe.
• Equipped to scale: Invest in the latest enterprise AI tools.
• Best in class: Work with a team of sharp, kind, and generous colleagues.
• Real rewards: Competitive pay, equity, and comprehensive benefits.
• Belonging: Equal access to opportunities, growth, and success.

About the Company

Faire is a technology wholesale platform built on the belief that the future is local. We're using the power of tech, data, and machine learning to connect independent retailers around the globe. We provide equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.