Staff Applied AI/ML Scientist, Acquisition

Faire • San Francisco, CA

1d • $246,500 - $339,000 • Hybrid

About The Position

Faire is hiring a Staff Applied AI/ML Scientist to lead the data science vision, strategy, and execution for Acquisition. The role focuses on finding and acquiring independent retailers for Faire’s wholesale marketplace, including developing models for paid-channel spending, prospective retailer lifetime value, landing pages and content, and pre-signup retailer experiences. The position leads a small team of scientists and analytics engineers and serves as a pod lead in partnership with product, engineering, and marketing.

Requirements

• At least 5 years of industry experience using machine learning to solve real-world problems.
• Experience with relevant business problems such as e-commerce, marketplaces, growth, acquisition, paid marketing, or personalization.
• Experience with relevant technical methods such as incrementality measurement, LTV modeling, bidding and budget optimization, recommendations and cold-start, and/or production LLM solutions.
• Strong programming skills.
• Willingness and enthusiasm to learn new tools and techniques.
• Experience as a tech lead, mentoring scientists or machine learning engineers, and setting team strategy and leading model development independently.
• Strong communication skills and ability to work in a highly cross-functional team.

Nice To Haves

• Master's or PhD in Computer Science, Statistics, Economics, or a related STEM field.
• Experience as a tech lead manager or people manager of applied ML or data science teams.
• Experience in performance or paid marketing, marketing-mix or media-mix modeling, bidding systems, incentive optimization, or growth for a two-sided platform.
• Experience with deep learning or language models.

Responsibilities

• Drive the AI/ML vision, strategy, and roadmap for Acquisition and Paid Marketing, and lead cross-functional workstreams as a pod lead.
• Optimize paid marketing spend, bidding, and budget allocation across channels such as search, social, and Performance Max.
• Predict retailer lifetime value and use it for value-based bidding and prioritizing acquisition efforts.
• Design experiments to measure the incremental impact of paid channels and spending levers, and translate results into investment decisions.
• Develop keyword, SEO, and AEO intelligence to identify and prioritize search and content opportunities likely to attract 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, and grow the team through hiring.
• Partner with marketing, product, engineering, and finance to translate models into measurable growth.

Benefits

• Flexible paid time off and company-wide recharge days.
• Paid parental leave up to 16 weeks.
• Comprehensive health coverage, with options varying by location.
• Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance.
• Mental health support and coaching through Modern Health.
• Stipends for professional development, wellness, and work-from-home needs.
• Employer-sponsored retirement plan, depending on country of employment.
• Equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed