Data Scientist, Product Analytics at whatnot

This role is ideal for a mid-to-senior Data Scientist with at least 3 years of experience in product analytics or decision science. You should have a strong gra

Work type: onsite

Location: San Francisco, CA | New York, NY | Los Angeles, CA | Seattle, WA

Salary: $175,000 – $240,000/yr

Type: Full-time

Summary

This role is ideal for a mid-to-senior Data Scientist with at least 3 years of experience in product analytics or decision science. You should have a strong grasp of the "modern data stack" (Snowflake, dbt) and a deep interest in marketplace dynamics. The team values candidates who can bridge the gap between technical execution—like building data pipelines and coding in Python—and strategic influence by partnering with Product and Engineering leads. The compensation is highly competitive ($175k–$240k base) and comes with a robust benefits package, including a 4% 401k match, 16 weeks of parental leave, and a unique "dogfooding" budget to shop on the platform. While the company supports some remote work, this is a **remote co-located** model requiring you to live within commuting distance of their hubs in SF, NY, LA, or Seattle for in-person collaboration. **You might be a good fit if you:** * Expertly navigate SQL and Python to extract insights from complex user behavior. * Have a proven track record of designing and interpreting A/B tests to drive product roadmaps. * Enjoy a fast-paced environment where you own projects from data instrumentation to executive presentation. * Are excited about the intersection of live streaming, community, and e-commerce.

Job Description

## 🚀 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](https://www.whatnot.com/careers) 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](https://a16z.com/marketplace-100/) and were recently named the [#1 Best Startup Employer in America](http://google.com/search?q=%231+forbes+startup+employer&oq=%231+forbes+startup+employer&gs_lcrp=EgZjaHJvbWUyBggAEEUYOTIGCAEQRRg9MgYIAhBFGD0yBggDEEUYQDIGCAQQRRhAMgYIBRBFGEDSAQg1NzM0ajBqMagCALACAA&sourceid=chrome&ie=UTF-8) by Forbes. Check out the latest Whatnot updates on our [news](https://blog.teamwhatnot.com/) and [engineering blogs](https://medium.com/whatnot-engineering) 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.

• 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.

• 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.

• 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.

## 👋 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 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.

• 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.

• 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.

For Full-Time (Salary) US based applicants:$175,000/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.

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