Whatnot

Data Scientist, Customer Experience

San Francisco, CA

Sponsorship not specifiedDetected 50 days ago

PythonSpringSQLBigQuerySnowflakeRedshiftSparkData AnalysisData EngineeringData ScienceData VisualizationStatisticsA/B TestingAccessibilityLeadershipCollaborationProblem Solving

About the role

🚀 Join the Future of Commerce with Whatnot!
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
They care more about outcomes than credit and stay close to the product and the people using it.

Responsibilities

Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
Build scalable methodologies to understand feature performance and guide iteration.
Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
Partner with engineers and operations leadership to improve data accessibility, ensure data quality, and support instrumentation for new product features.
Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
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.
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.
We move fast, stay close to our users, and focus on the work that drives the most impact.
As Whatnot rapidly scales, data is central to shaping our product and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers.

Requirements

5+ 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.
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.
Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.

Compensation

$5,000 annual allowance towards Childcare

Benefits

Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
Health Insurance options including Medical, Dental, Vision
$1,000 home office setup allowance
$500 monthly allowance for wellness
$20,000 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

Company info

The people here are shaping how an entirely new industry develops.
We're looking for a Data Scientist, Customer Experience who will partner closely with Product, Engineering, and Operations to embed the data narrative across Customer Experience products and operations, drive insights and experimentation, and ensure strong decision making across the company.
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.

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This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.