Senior Applied AI/ML Scientist - Brand Growth

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. We help independent retailers discover the best products from around the world to sell in their stores, using data and machine learning to connect entrepreneurs across the globe.

About the Role

As a Senior Applied AI/ML Scientist on the Brand Growth team, you will own the modeling and measurement for problems that help Faire acquire and grow the brands on our marketplace. You will work across structured and unstructured data using methods ranging from personalization and recommendations to causal inference, lifetime-value modeling, and information extraction. You will partner closely with product, engineering, marketing, and sales to drive projects end-to-end from framing through production and measurement.

Responsibilities

• Own applied ML projects end-to-end: framing the problem, building and shipping the model, and measuring impact.
• Optimize marketing and acquisition spend for acquiring new brands through targeting, lookalike audiences, and personalization.
• Predict brand lifetime value to prioritize brand leads for sales and to personalize new-brand onboarding.
• Improve cold-start recommendations and exploration so that new brands find the right retailer audience quickly.
• Identify and enrich brand leads from internal and external data to power prioritization and personalization.
• Use experimentation and causal inference to measure the effectiveness of growth and spend levers.
• Partner across product, engineering, marketing, sales, and analytics to turn models into shipped product and business impact.
• Solve challenging problems related to a two-sided marketplace.

Qualifications

• 3+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e-commerce)
• Experience with relevant technical methods (LTV modeling, NLP, LLMs, causal ML, bidding optimization)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision
• Strong communication skills and the ability to work in a highly cross-functional team

Nice to Haves

• Master's or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience in marketplace growth, acquisition / paid marketing, LTV modeling, or personalization for a two-sided platform