Data Scientist, Product Analytics

· Remote

Location

Remote

Type

Full Time

Job Description

Data Scientist Product Analytics

Reposted 3 Hours Ago
4 Locations
In-Office or Remote
185K-240K Annually
Mid level
eCommerce • Mobile • Retail
Buy Sell & Go Live
The Role
As a Product Data Scientist you will analyze user behavior drive experimentation build data tools and collaborate across teams to influence product strategy and innovation at Whatnot.
Summary Generated by Built In
🚀 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. Whether it's trading cards fashion electronics or live plants our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team we're inspired by our values and anchored in hubs across the US UK Ireland Poland Germany and Australia. We move fast stay close to our users and focus on the work that drives the most impact.

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. 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 

As Whatnot rapidly scales data is central to shaping our product strategy and helping us build delightful high-performing experiences for both buyers and sellers. We’re looking for a Product Data Scientist who will partner closely with Product Engineering Design and Operations to drive insights experimentation and decision-making across the company.

In this role you will:

🔍 Generate Insights & Shape Product Direction
  • Define and own the KPIs that measure product health user engagement and marketplace performance.

  • Analyze user behavior product usage patterns and marketplace dynamics to identify opportunities and inform product priorities.

  • Translate complex data into actionable recommendations for product and leadership teams.

🧪 Drive Experimentation & Measurement
  • Partner with product managers and engineers to design implement and evaluate A/B tests and feature rollouts.

  • Develop frameworks for causal inference impact measurement and long-term product evaluation.

  • Build scalable methodologies to understand feature performance and guide iteration.

🛠 Build Data Products & Tools
  • Use our modern data stack to build dashboards data pipelines and self-serve tools that empower teams across Whatnot.

  • Partner with engineers to improve data accessibility ensure data quality and support instrumentation for new product features.

🤝 Lead Cross-Functional Collaboration
  • Advocate for data-driven decision-making and foster a culture of measurement across the product organization.

  • Communicate insights clearly to both technical and non-technical audiences influencing roadmaps and strategic decisions.

  • Serve as a thought partner to product leads shaping how we build launch and iterate on experiences across the platform.

US Based:

We offer flexibility to work from home or from one of our global office hubs and we value in-person time for planning problem-solving and connection. Team members in this role must live within commuting distance of our New York Seattle Los Angeles and San Francisco hubs.

👋 You 

People who do well at Whatnot tend to be comfortable figuring things out as they go biased toward action and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.

As our next Product Data Scientist you bring:

🎓 Experience & Expertise
  • 3+ years of experience in Data Science Decision Science or Analytics within a product-focused organization.

  • A bachelor’s degree in Computer Science Economics Statistics or a related quantitative field or equivalent experience.

  • Proven experience applying statistical and analytical methods to real-world product problems.

🧠 Technical Skills
  • Advanced SQL skills and experience with modern data warehouses (Snowflake BigQuery Redshift) and tools like Spark or DBT.

  • Proficiency with Python or R for data analysis modeling and experimentation.

  • Experience designing and analyzing A/B tests and understanding causal inference techniques.

  • Strong data visualization skills and familiarity with BI tools for building interactive dashboards.

🗣 Collaboration & Leadership
  • Ability to communicate complex ideas clearly concisely and impactfully across diverse stakeholders.

  • Experience leading cross-functional projects and influencing product strategy with data.

  • Comfortable working in fast-paced ambiguous environments with a high degree of ownership.

💰Compensation

For Full-Time (Salary) US based applicants:  $185000/year to $240000/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.

Top Skills

BigQuery
Dbt
Python
R
Redshift
Snowflake
Spark
SQL

What the Team is Saying

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The Company
HQ: Culver City California
1200 Employees
Year Founded: 2019

What We Do

We bring people together around the things they love and turn their passions into their livelihood.

Why Work With Us

Passion is the centerpiece of our culture. We’ve got passionate buyers sellers and employees. We want you to bring your passions to Whatnot.

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Whatnot Offices

Remote Workspace

Employees work remotely.

Our “office optional” policy lets you work where you’re most productive. With options of working from home in person or a mix of both. We have office hubs within the US UK Ireland Poland and Germany today.

Typical time on-site: None
HQWhatnot
Berlin DEU
Dublin IE
Kraków PL
London GB
New York NY
San Francisco CA
Seattle WA
Learn more

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Date Posted

04/19/2026

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