Whatnot
Join to apply for the
Data Scientist, Growth Marketing
role at
Whatnot Join to apply for the
Data Scientist, Growth Marketing
role at
Whatnot This range is provided by Whatnot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$205,000.00/yr - $240,000.00/yr 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. 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, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.
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 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
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? We’ve 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. Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience.
Compensation
For Full-Time (Salary) US-based Applicants
$205,000/year to $240,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance for wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally 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!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 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.
Compensation Range: $205K - $240K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Data Scientist, Growth Marketing
role at
Whatnot Join to apply for the
Data Scientist, Growth Marketing
role at
Whatnot This range is provided by Whatnot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$205,000.00/yr - $240,000.00/yr 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. 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, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.
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 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
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? We’ve 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. Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Mathematics, Engineering) or equivalent experience.
Compensation
For Full-Time (Salary) US-based Applicants
$205,000/year to $240,000/year + benefits + equity.
The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
Benefits
Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) Health Insurance options including Medical, Dental, Vision Work From Home Support Home office setup allowance Monthly allowance for cell phone and internet Care benefits Monthly allowance for wellness Annual allowance towards Childcare Lifetime benefit for family planning, such as adoption or fertility expenses Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally 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!). Parental Leave 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. 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.
Compensation Range: $205K - $240K
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Whatnot by 2x Get notified about new Data Scientist jobs in
San Francisco, CA . AI Training for Data Science (Freelance, Remote)
San Francisco, CA $90,000.00-$150,000.00 1 month ago South San Francisco, CA $120,000.00-$160,000.00 4 days ago Foster City, CA $140,000.00-$170,000.00 1 day ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $140,000.00-$200,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 1 month ago San Francisco, CA $220,000.00-$270,000.00 5 days ago San Francisco, CA $150,000.00-$200,000.00 1 month ago Software Engineer, Python - AI Training (Freelance, Remote)
Research Scientist (Multi-agent Systems)
San Francisco, CA $140,000.00-$200,000.00 1 month ago Internship - Research Scientist (AI Agents)
Geospatial Data Scientist (Research Fellow or Part-time Consultant)
San Francisco, CA $133,687.50-$178,250.00 2 weeks ago San Francisco, CA $260,000.00-$300,000.00 1 day ago Machine Learning Engineer, Core Engineering
San Francisco, CA $220,000.00-$275,000.00 3 months ago San Mateo, CA $180,000.00-$200,000.00 2 months ago Scientist II, Real World Data Science - Translational Research
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr