Senior Applied AI/Machine Learning Scientist (Brand Growth)

Join Faire, a leading online wholesale marketplace, as a Senior Applied AI/Machine Learning Scientist on the Brand Growth team. In this role, you will own the modeling and measurement for various problems that help Faire acquire and grow brands on our marketplace. You will work with structured and unstructured data, using methods such as personalization, recommendations, causal inference, and lifetime-value modeling. You will collaborate closely with product, engineering, marketing, and sales teams, driving projects from framing through production and measurement.

• 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.
• Use experimentation and causal inference to measure the effectiveness of growth and spend levers.

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