Senior Applied AI/Machine Learning Scientist (Brand Growth)

• As a Senior Applied AI/ML Scientist on the Brand Growth team, you will own the modeling and measurement for a set of problems that help Faire acquire and grow the brands on our marketplace, which connects hundreds of thousands of independent brands and retailers
• Because our users are businesses, there is a wealth of information about them that ML models can use to personalize their experience, grow their success, and prioritize where we invest
• You will work across structured and unstructured data using methods that range from personalization and recommendations to causal inference, lifetime-value modeling, and information extraction
• You will partner closely with product, engineering, marketing, and sales, and you will drive projects end-to-end 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
• 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 (e.g. retailer search behavior, referrals, and third-party sources) 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

Benefits

• Comprehensive healthcare: Including Health, Dental, Vision and Disability for all our locations.
• Time off: Paid time off, holidays and company-wide “Faire Fundays”.
• Parental leave: Generous parental and family leave, as well as fertility support benefits.
• Productivity support: Monthly stipends to help cover work from home connectivity needs.
• Annual learning grant: For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning.
• Thoughtfully designed spaces: All of our offices have been designed with local in mind – from our architects to our coffee blends.
• Fitness and well-being benefits: Including monthly credit towards your wellness-related programmes.
• Mental health benefits: Including free access to Modern Health therapists and resources.
• Charitable matching: Faire will match up to £250 of your charity donations, every year.
• Career planning: Whether you want to grow as a leader, hone your craft or explore a new discipline, our career framework allows space for you to explore.

• 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