Data Scientist, Growth Marketing

ZipRecruiter; Seattle (WA); Remote; USD 205,000 - 240,000; Full time

Job summary

A leading live shopping platform is seeking a Data Scientist for Marketing to optimize marketing performance through data analysis. The ideal candidate has 4+ years of experience in analytics, strong SQL and Python skills, and an understanding of marketing measurement. This position offers a competitive salary of $205K to $240K and excellent benefits, with team members working remotely or from major hubs like Seattle.

Benefits

Generous Holiday and Time off Policy

Health Insurance options

Work From Home Support

Care benefits

401k plan with employer match

Monthly allowance for personal product use

Paid parental leave

Qualifications

• 4+ years of experience in data science or analytics.
• Advanced proficiency in SQL and Python (or R).
• Experience with marketing measurement techniques.
• Strong understanding of digital marketing ecosystems.
• Excellent communication skills to translate analyses.

Responsibilities

• Design and analyze experiments to optimize marketing performance.
• Build and maintain attribution models.
• Develop forecasting and optimization tools.
• Partner to create data-driven strategies.
• Present insights to executive leadership.

Skills

Data analysis

Statistical modeling

SQL

Python

Marketing measurement

A/B testing

Communication skills

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

R

Job description

Overview

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 redefining 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.

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

• Generous Holiday and Time off Policy
• Health Insurance options including Medical, Dental, Vision
• Work From Home Support
  • Home office setup allowance
  • Monthly allowance for cellphone 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

EOE

Whatnot is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, marital status, parental status, 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