Data Scientist, International

Join the Future of Commerce with Whatnot!

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we're inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we're building the future of online marketplaces
-together.

From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

And we're just getting started! As one of the fastest growing marketplaces, we're looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.

Role

Data Scientists at Whatnot bring technical expertise, analytical mindset and strong communication skills to solve problems and identify opportunities critical to the growth of Whatnot.

You will:

• Drive end-to-end analysis of revenue and category performance in our non-US markets, highlighting macro shifts and local nuances. Identify and drive deep understanding of growth levers, risk vectors, and user behavior.
• Support strategic decision-making by creating forward-looking insights - identifying leading indicators, pressure-testing assumptions, and surfacing risks before they materialize.
• Translate ambiguous business questions into structured analyses that help teams understand the "what" and the "why" behind performance shifts.
• Build descriptive reporting and insight tools that reflect both country performance and category specifics, including differences in customer behavior, currency, seasonality, and GTM structure.
• Create regional forecasts and directional models that support headcount planning, sales targeting, and business growth decisions.
• Incorporate data from CX, Logistics, Finance, and other teams to guide growth opportunities.
• Become a trusted partner to Sales, Marketing, Account Management, and Category leaders, helping them make smarter, faster decisions based on data.
• Build dashboards and automated reporting to support weekly and monthly business reviews, while driving clarity on KPIs that actually reflect performance.

Team members in this role are required to be within commuting distance of our New York hub.

About You

We're looking for an experienced, globally-minded Data Scientist who knows how to use analytics to drive business clarity, especially in fast-growing, multi-market environments. You understand that what works in one country may not work in another, and you bring curiosity and rigor to helping the business navigate that complexity. You understand the whole business thinking about how to grow revenue and categories but how also behind the scenes product and commerce implications impact different markets.

You thrive in cross-functional, multicultural environments and enjoy tackling open-ended problems with structured thinking and sharp analysis. You love building tools that help people take action, not just crunching numbers in isolation. Your work influences how we scale, where we grow, and how we define success in diverse markets.

In addition to 5+ years of experience in the Data Analytics field, you should have:

• Experience supporting go-to-market, sales and marketing where understanding trends, connecting dots and forecasting were central to decision-making.
• Familiarity with local market behaviors, such as differences in payment systems, buyer behavior, or GTM approach by geography.
• A track record of supporting localized growth efforts in emerging markets, cross-border commerce, or international product launches.
• Previous experience working with marketplaces, ecommerce, mobile gaming, or social media.
• Expertise in SQL and scripting languages for data analysis, reporting, and dashboarding.
• Proficiency with visualization and BI tools (Looker, Tableau, Mode, etc.), not just for reporting, but for building tools others can use reliably.
• You communicate clearly and influence without needing authority - business partners value your judgment and seek out your input.
• You prioritize speed, clarity, and utility - building tools and insights that the business actually uses, not scientific models that sit on a shelf.
• Strong business judgment and a knack for identifying the signal in noisy data with context of the overall business implications.
• Excellent verbal communication and presentation skills to stakeholders, leadership, and investors.
• Experience working in an environment where you have to balance rigor and speed, knowing when to push for perfection vs. ship and iterate.

Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT.

Compensation

For Full-Time (Salary) US-based…