Senior Applied AI/ML Scientist - Retailer Growth

📋 Description

• Drive data science vision, strategy, and execution within Retailer Growth, using AI/ML solutions to
• Work with cross-functional stakeholders to develop end-to-end product solutions
• Extract deep behavioral insights using AI to automate AEO content creation and personalize the user
• Optimize marketing capital allocation through sophisticated targeting and bidding optimization
• Implement rigorous experimentation and causal inference frameworks to quantify the impact of growth
• Engineer scalable solutions for complex challenges inherent to two-sided marketplace dynamics

🎯 Requirements

• 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
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to design and implement ML solutions without supervision

🎁 Benefits

• Move fast: You'll own meaningful problems that serve customers around the globe with the agency to
• Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you
• Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft
• Real rewards: Competitive pay, equity, and comprehensive benefits designed to support your life
• Belonging: We're intentional about building an environment where every Faire employee has equal