Data Scientist Jobs at Whatnot with Visa Sponsorship
Data Scientist jobs at Whatnot sit at the intersection of live commerce and consumer behavior analytics, requiring deep experimentation and marketplace modeling skills. The company has a consistent record of sponsoring international talent across multiple visa categories for this function, making it a realistic target for visa-dependent candidates.
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Get Access To All JobsLOCATION
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Remote
DEPARTMENT
Engineering
Data & Marketplace Integrity
COMPENSATION
$162K – $215K • Offers Equity
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
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 and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers. This is especially important when users reach out for support. 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.
- In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure CX health, downstream impact, product experience, and user sentiment.
- Analyze user behavior and marketplace dynamics to identify opportunities and inform CX product and agent team priorities.
- Measure the tradeoffs between user experience and business value.
- 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 ecosystem health.
- 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 and operations leadership 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 CX organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
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 Data Scientist, Customer Experience, you bring:
EXPERIENCE & EXPERTISE
- 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.
- 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 strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
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
- $1,000 home office setup allowance
- $150 monthly allowance for cell phone and internet
- Care benefits
- $500 monthly allowance for wellness
- $5,000 annual allowance towards Childcare
- $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
- 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.
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.
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.
LOCATION
San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA
EMPLOYMENT TYPE
Full time
LOCATION TYPE
Remote
DEPARTMENT
Engineering
Data & Marketplace Integrity
COMPENSATION
$162K – $215K • Offers Equity
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity.
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 and operational strategy, helping us build delightful, high-performing experiences for both buyers and sellers. This is especially important when users reach out for support. 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.
- In this role, you will:
Generate Insights & Shape Product Direction
- Define and own the KPIs that measure CX health, downstream impact, product experience, and user sentiment.
- Analyze user behavior and marketplace dynamics to identify opportunities and inform CX product and agent team priorities.
- Measure the tradeoffs between user experience and business value.
- 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 ecosystem health.
- 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 and operations leadership 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 CX organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to CX leads, shaping how we build, launch, and iterate on experiences across the platform.
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 Data Scientist, Customer Experience, you bring:
EXPERIENCE & EXPERTISE
- 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.
- 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 strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
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
- $1,000 home office setup allowance
- $150 monthly allowance for cell phone and internet
- Care benefits
- $500 monthly allowance for wellness
- $5,000 annual allowance towards Childcare
- $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
- 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.
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.
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.
See all Data Scientist Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist Jobs at Whatnot.
Get Access To All JobsTips for Finding Data Scientist Jobs at Whatnot
Frame Your Portfolio Around Marketplace Experimentation
Whatnot's data team runs A/B tests on live auction dynamics, seller behavior, and buyer retention. Before applying, build out portfolio projects that demonstrate causal inference or experiment design in a two-sided marketplace context, not just predictive modeling.
Verify Your Visa Type Matches the Role Level
Whatnot sponsors multiple visa categories for Data Scientists, including H-1B, E-3, and TN. Confirm your current status and target visa align with the seniority level posted, since USCIS specialty occupation requirements tighten considerably for roles with ambiguous degree-to-job-title mapping.
Time Your Application Around the H-1B Cap Cycle
If you need H-1B sponsorship from scratch, the annual USCIS registration window opens in March. Target Whatnot's interview process in January or February so an offer is in place before registration closes and you don't lose a full year waiting for the next cycle.
Ask Recruiters Directly About Internal Transfer Policies
If you're already in the U.S. on OPT or CPT, ask Whatnot's recruiter whether they file H-1B cap-exempt petitions through a related entity or rely solely on the annual lottery. This determines whether your start date is firm or contingent on selection.
Use Migrate Mate to Surface Open Roles by Visa Type
Filter Whatnot's active Data Scientist openings by your specific visa category on Migrate Mate before reaching out to recruiters. Applying to roles already matched to your status reduces the risk of advancing through multiple interview rounds only to learn sponsorship isn't available for your situation.
Prepare Documentation Proving Specialty Occupation Status
For Data Scientist roles in retail tech, USCIS scrutinizes whether the position genuinely requires a specialized degree. Gather transcripts, prior LCA filings from past employers if available, and a clear written narrative linking your statistics or computer science degree directly to Whatnot's role requirements before the petition stage.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Data Scientists?
Yes, Whatnot sponsors H-1B visas for Data Scientist roles. The company has an active track record of filing petitions for this function, which signals genuine willingness rather than case-by-case reluctance. If you're subject to the annual H-1B cap, your offer needs to be in place before the USCIS registration window in March to be included in that year's lottery.
How do I apply for Data Scientist jobs at Whatnot?
Applications go through Whatnot's careers page, where Data Scientist roles are listed by team and seniority. You can also browse current openings filtered by visa type on Migrate Mate, which lets you confirm sponsorship eligibility before investing time in the process. Prepare to demonstrate experience with large-scale experimentation, marketplace analytics, or recommendation systems, as these appear consistently across their Data Scientist job descriptions.
Which visa types does Whatnot commonly sponsor for Data Scientists?
Whatnot sponsors a range of visa categories for Data Scientists, including H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT for current students, and J-1 visa for eligible exchange visitors. For candidates pursuing permanent residence, the company has also supported EB-2 and EB-3 Green Card pathways, which typically begin with a PERM labor certification filed through DOL.
What qualifications does Whatnot expect for Data Scientist roles?
Whatnot's Data Scientist postings consistently emphasize strong statistical foundations, proficiency in Python or R, and hands-on experience with A/B testing and causal inference. A bachelor's degree in a quantitative field is the baseline, but master's or PhD credentials are common among candidates who advance. Prior experience in consumer marketplaces, e-commerce, or live commerce platforms is a differentiator given the company's business model.
How do I navigate the visa filing timeline after receiving an offer from Whatnot?
Once you have an offer, Whatnot's immigration team typically works with outside counsel to file the required Labor Condition Application with DOL before submitting the visa petition to USCIS. For H-1B transfers from an existing employer, premium processing (currently 15 business days) is available and worth discussing with your recruiter if your start date is firm. For OPT holders, confirm your remaining authorized period covers the filing and any USCIS processing time to avoid a gap in work authorization.