Data Scientist

We’re working to revolutionize the clothing industry and we're looking for a curious and creative team member to help manage our complex, multi-sided marketplace.
As the founding member of our Data Science Team, you will take on the critical task of realizing the power of our data to scale our highly dynamic marketplace.
There are three worlds within GP where we believe you can play a key role in realizing our ambitions.
The first is what we call Merchandising Science or Trade Marketing. There are many levers within this world that can be influenced by data such as what pieces of clothing to source, what we price those clothes at, how we mark down those prices over time, and how we shape our assortment to be as desirable as possible throughout the year for our customers.
After Merchandising Science, there is Buyer Growth. In this domain, there are many data products we can explore from real-time LTV models, which can be integrated into the customer experience to accelerate acquisition efficiently, to dynamic customer segmentation, which can be used to leverage discounting to incentivize the customers who are at the highest risk of churn to improve buyer retention.
Lastly there is Seller Growth. We offer unparalleled convenience for our “clean out” offering that enables customers to do right by their closet and the planet. However, this offering is still in the nascent stage of its scaling journey. From identifying our best sellers to unlocking the seller conversion funnel to improving the yield of every bag, there is a seemingly endless ocean of learning opportunities to iterate through for the next few years as part of our mission to inspire a new generation of consumers to think secondhand first. If you get excited about data-driven decision making and want to play a critical role in scaling a highly dynamic marketplace that does good for the planet, we’d love to hear from you.



Responsibilities
● Uncover insights in our vast repository of raw data, providing tactical guidance on how to achieve an inventory assortment that maximizes growth and value for all marketplace participants.
● Participate in our knowledge-sharing culture by spreading best practices and learnings from prior experiences, helping the entire team level up.
● Explore strategies to drive decisions around item acceptance, item pricing, discounting, and clearance strategies for hundreds of thousands of unique items in inventory.
● Provide insights that will help guide our attribution methodology and enhance our understanding of customer lifetime value & retention.
● Synthesize insights in a manner that can be shared and communicated at all levels of the organization.
● Define and help monitor KPIs, with a keen sense of identifying the metrics that matter.
● Partner across the organization to help drive diagnostic efforts when there’s a non-trivial variance in marketplace performance relative to forecast. Requirements:
● At least 2 years of full-time, professional experience in data analytics, data science, or software engineering roles.
● Strong cross-functional communication skills that help push projects forward and encourage the development of new collaborations with business teams.
● Innate curiosity and drive to find insights that unlock new growth or efficiency - you can’t help but dig in and seek the truth!
● Well-rounded skill set in statistics, data visualization, machine learning, and project management.
● Advanced knowledge of SQL.
● Prior experience working with marketplaces and/or a relevant background in economics or operations research is a plus.