Staff Data Scientist - Marketplace Quality

About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

Faire leverages the power of machine learning and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and LTV predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed.

At Faire, the Data Science team is responsible for creating and maintaining a diverse range of algorithms and models that power our marketplace. We are dedicated to building machine learning models that help our customers thrive. 

As the Marketplace Quality lead within the Brand Data Science team, you will be responsible for improving the quality of retailers’ experiences with products and brands on Faire, particularly by reducing egregious issues, such as counterfeit products, fulfillment delays, damaged and missing items, and poor quality products. You will develop data science models to detect and act on issues. This will involve issue detection from unstructured data, human-in-the-loop targeting, causal inference, and lever optimization. You will independently drive data science vision, strategy, and execution and be the data science lead within the cross-functional Marketplace Quality pod, thinking end-to-end about the problem.

Our team already includes experienced Data Scientists from Uber, Airbnb, Square, Facebook, and Pinterest. Faire will soon be known as a top destination for data scientists and machine learning engineers, and you will help take us there!

What you’ll do

• Drive data science vision, strategy, and execution on Marketplace Quality, reducing the bad experiences that retailers encounter in the marketplace (e.g. counterfeits, late shipment, damaged and missing items, poor product quality)
• Act as a lead on the cross-functional Marketplace Quality pod, thinking end-to-end about brand and retailer experiences, ops processes, policy enforcement, etc.
• Use deep learning techniques to match products across platforms, detect issues from image and text data, and summarize reviews
• Use causal inference methods to estimate the long term effects of quality issues and optimize the tradeoff between reducing issues and near-term growth
• Optimize levers such as downranking and Top Shop status to drive visibility away from low quality and toward high quality products and brands
• Develop human-in-the-loop machine learning systems for detecting issues and targeting actions
• Solve challenging problems related to a two-sided marketplace

Qualifications

• 5+ years of industry experience using machine learning to solve real-world problems
• Experience with relevant business problems (e-commerce, marketplaces, or logistics)
• Experience with relevant technical methods (human-in-the-loop machine learning, causal inference, and/or deep learning)
• Strong programming skills
• An excitement and willingness to learn new tools and techniques
• The ability to contribute to team strategy and to lead model development without supervision
• Strong communication skills and the ability to work in a highly cross-functional team 

Great to Haves:

• Highly recommended: Master’s or PhD in Computer Science, Statistics, or related STEM fields
• Previous experience in marketplace quality in a two-sided e-commerce platform
• Previous experience in deep learning or language models

Salary Range

New York City*: the pay range for this role is $209,500 to $288,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be dete