Staff Applied AI/ML Scientist, Acquisition
Faire · San Francisco, CA
About this role
**About Faire** Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we use tech, data, and machine learning to connect entrepreneurs worldwide—helping local retailers discover great products from around the world to sell in their stores. **About this role** Faire leverages machine learning and data insights to revolutionize wholesale, helping local retailers compete with giants like Amazon and big box stores. Our Applied AI/ML Scientists build algorithmic solutions for recommender systems, spend optimization, lifetime value (LTV) predictions, and more. As the **tech lead for Acquisition**, you’ll own data science vision, strategy, and execution for how Faire finds and acquires independent retailers for our marketplace. You’ll build models that determine where and how much we spend across paid channels, predict long-term value of prospective retailers, generate landing pages and content that bring them to Faire, and shape the experience retailers have before they sign up. You’ll lead a small team of scientists and analytics engineers and act as a pod lead alongside product, engineering, and marketing partners. **What you’ll do** - Drive AI/ML vision, strategy, and roadmap for Acquisition and Paid Marketing; act as a pod lead across cross-functional workstreams. - Optimize paid marketing spend, bidding, and budget allocation across channels (e.g., search, social, Performance Max). - Predict retailer lifetime value and use it for value-based bidding and prioritizing acquisition effort. - Design experiments to measure the incremental impact of paid channels and spend levers, and turn results into investment decisions. - Develop keyword, SEO, and AEO intelligence to identify and prioritize search/content opportunities likely to bring high-value retailers. - Generate landing pages and content at scale and measure their impact on acquisition. - Build audience and targeting models for retargeting campaigns. - Manage and mentor Applied AI/ML Scientists and Analytics Engineers; grow the team through hiring. - Partner closely with marketing, product, engineering, and finance to translate models into measurable growth. **Qualifications** - 5+ years of industry experience using machine learning to solve real-world problems. - Experience with relevant business problems (e-commerce, marketplaces, growth, acquisition, paid marketing, or personalization). - Experience with relevant technical methods (incrementality measurement, LTV modeling, bidding/budget optimization, recommendations and cold-start, and/or LLMs for production solutions). - Strong programming skills. - Excitement and willingness to learn new tools and techniques. - Experience as a tech lead/mentor; ability to set team strategy and lead model development without supervision. - Strong communication skills and ability to work in a highly cross-functional team. **Great to Haves** - Master’s or PhD in Computer Science, Statistics, Economics, or related STEM fields. - Experience as a tech lead manager or people manager of applied ML/data science teams. - Experience with performance/paid marketing, marketing-mix or media-mix modeling, bidding systems, incentive optimization, or growth for a two-sided platform. - Previous experience with deep learning or language models. **Salary Range** - **San Fr
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