Description
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
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.
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.
Responsibilities:
- 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 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.
Qualifications:
- 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 optimization)
- Strong programming skills
- An excitement and willingness to learn new tools and techniques
- The ability to design and implement ML solutions without supervision
- Strong communication skills and the ability to work in a highly cross-functional team
Benefits:
- Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.