Medium

Whatnot is the largest livestream shopping platform in the U.S., connecting buyers and sellers in real-time across any category – from collectibles like trading cards to comics, fashion, sneakers, and more. 

Founded by collectors, the platform couples rigorous seller vetting with unmatched buyer protection to create a trusted and welcoming space for people to share their passions with others. Today, Whatnot’s top sellers earn up to eight figures annually using the platform. 

Backed by Andreessen Horowitz, YC Continuity, and CapitalG, Whatnot’s valuation is $3.7B.



Technology

Whatnot

You need 5+ years in Data, 3+ years in analytics for GTM or similar, strong communication, SQL expertise, scripting skills, big data tech familiarity, and experience with BI tools.

You will analyze data to improve GTM strategies, create KPIs and dashboards, and provide insights on user behavior and market trends to guide company practices.

Data

London

We’re looking for an experienced Data Scientist to support our Go To Market teams as they expand across product categories and geographic markets. This individual will partner with the groups responsible for scaling Whatnot’s account management and marketing efforts, looking across multiple factors including supply growth, marketing, logistics, and more.You will:Partner closely with GTM and International leads to find improvements &amp; opportunities using data science methodologies and tools.Inform the effectiveness of GTM motions to adapt Whatnot’s strategy and tactics for new markets.Build actionable KPIs, create production-quality dashboards and notebooks to convey insights for strategy and operationsImprove roadmaps through analysis of marketplace, user behavior, and industry trends.Define and advance company best practices within a data-informed culture.👋 About YouWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Category Expansion, Marketing, and Strategy &amp; Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions enabled by both analysis and self-serve methodologies.You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from metric creation to analytics engineering to forecasting, ideally with previous experience in GTM, marketing, or other high-growth startup environments.In addition to 5+ years of experience in the Data field, you should have:3+ years of experience in Data Analytics &amp; Science supporting go to market, sales operations, marketing, or consulting/operations roles.Bachelor’s degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience.&nbsp;Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams.Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.Expert in using SQL for data analysis, reporting, and dashboarding.Experience with a scripting language such as Python or R.Aptitude in time series forecasting, goal setting, and cohort analysis.Aptitude in industry standard sales team tooling such as Salesforce, HubspotFirm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks.

We’re looking for an experienced Data Scientist to support our Go To Market teams as they expand across product categories and geographic markets. This individual will partner with the groups responsible for scaling Whatnot’s account management and marketing efforts, looking across multiple factors including supply growth, marketing, logistics, and more.You will:Partner closely with GTM and International leads to find improvements & opportunities using data science methodologies and tools.Inform the effectiveness of GTM motions to adapt Whatnot’s strategy and tactics for new markets.Build actionable KPIs, create production-quality dashboards and notebooks to convey insights for strategy and operationsImprove roadmaps through analysis of marketplace, user behavior, and industry trends.Define and advance company best practices within a data-informed culture.👋 About YouWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Category Expansion, Marketing, and Strategy & Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions enabled by both analysis and self-serve methodologies.You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from metric creation to analytics engineering to forecasting, ideally with previous experience in GTM, marketing, or other high-growth startup environments.In addition to 5+ years of experience in the Data field, you should have:3+ years of experience in Data Analytics & Science supporting go to market, sales operations, marketing, or consulting/operations roles.Bachelor’s degree in Computer Science, Economics, Statistics, or a related field, or equivalent work experience. Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators.Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams.Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.Expert in using SQL for data analysis, reporting, and dashboarding.Experience with a scripting language such as Python or R.Aptitude in time series forecasting, goal setting, and cohort analysis.Aptitude in industry standard sales team tooling such as Salesforce, HubspotFirm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks.

Whatnot

navigation.mission