Join the Future of Commerce with Whatnot!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Were re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, were inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, were building the future of online marketplacestogether.
From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And were just getting started! As one of the fastest growing marketplaces, were 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
You will be the analytical powerhouse behind our marketing initiatives, working end-to-end from data exploration to model deployment. Your work will directly influence how we invest in marketing channels, personalize user engagement, and measure ROI at scale.
In this role, you will:
Design, analyze, and interpret experiments to optimize marketing performance across channels (paid media, lifecycle marketing, influencer partnerships, etc.)
Build and maintain attribution models to better understand customer journeys and channel impact.
Develop forecasting and optimization tools to allocate budget efficiently and predict campaign performance.
Partner with marketing, product, and engineering teams to create data-driven strategies for audience segmentation and personalized messaging.
Establish scalable measurement frameworks for new marketing channels and campaigns.
Present actionable insights and recommendations to executive leadership in a clear, compelling narrative.
Team members in this role are required to be within commuting distance of our New York City, Los Angeles, Seattle, and San Francisco hubs.
You
Curious about who thrives at Whatnot? Weve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
As our next Data Scientist, Marketing, you should have:
4+ years of experience in data science, analytics, or applied statistics, ideally in a marketing, growth, or advertising context.
Advanced proficiency in SQL and Python (or R) for data manipulation, modeling, and analysis.
Experience with marketing measurement techniques (e.g. MMM, incrementality testing, causal inference).
Strong understanding of digital marketing ecosystems, including paid social, search, display, email, and affiliate channels.
Proven ability to design and analyze A/B and multivariate experiments.
Excellent communication skills, with the ability to translate complex analyses into clear, business-focused recommendations.
Bachelors or Masters degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience.
Compensation
ForFull-Time(Salary)US-basedapplicants:
$205,000/yearto$240,000/year+benefits+equity.
Thesalaryrangemaybeinclusiveofseverallevelsthatwouldbeapplicabletotheposition.Finalsalarywillbebasedonanumberoffactorsincluding,level,relevantpriorexperience,skills,andexpertise.Thisrangeisonlyinclusiveofbasesalary,notbenefits(moredetailsbelow)orequity.
Benefits
FlexibleTimeoffPolicyandCompany-wideHolidays(includingaspringandwinterbreak)
HealthInsuranceoptionsincludingMedical,Dental,Vision
WorkFromHomeSupport
Homeofficesetupallowance
Monthlyallowanceforcellphoneandinternet
Carebenefits
Monthlyallowanceforwellness
AnnualallowancetowardsChildcare
Lifetimebenefitforfamilyplanning,suchasadoptionorfertilityexpenses
Retirement;401kofferingforTraditionalandRothaccountsintheUS(employermatchupto4%ofbasesalary)andPensionplansinternationally
Monthly allowance to dogfood the app
All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
ParentalLeave
16weeksofpaidparentalleave+onemonthgradualreturntowork*companyleaveallowancesrunconcurrentlywithcountryleaverequirementswhichtakeprecedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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