Data Scientist Jobs at Whatnot with Visa Sponsorship
Whatnot's Data Scientist roles 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 JobsINTRODUCTION
š 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
In Order To Continue This Growth, Itās Important That Whatnot Remains a Safe And Trusted Space To Interact And Transact. Weāre Looking For a Data Scientist With Expertise In Fraud And Risk To Detect And Prevent These Threats To Our Community. You Will
GENERATE INSIGHTS & SHAPE DIRECTION
- Translate complex data into actionable recommendations for the Fraud engineering and operations teams.
- Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance.
- Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices.
DRIVE EXPERIMENTATION & MEASUREMENT
- Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform.
- Define and own the experimentation playbook for Fraud at Whatnot.
- Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing.
- Ensure Whatnotās internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains.
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 and platform enhancements.
LEAD CROSS-FUNCTIONAL COLLABORATION
- Advocate for data-driven decision-making and foster a culture of measurement across the trust & risk organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors.
- Serve as a thought leader to Trust & Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform.
LOCATION
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 Data Scientist, Risk & Fraud, you bring:
EXPERIENCE & EXPERTISE
- 5+ years of experience in the Data field, and 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
- Bachelorās degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience.
- Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
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 trust & risk strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
COMPENSATION
For Full-Time (Salary) US based applicants: $185,000/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.
š 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.
Compensation Range: $185K - $240K
INTRODUCTION
š 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
In Order To Continue This Growth, Itās Important That Whatnot Remains a Safe And Trusted Space To Interact And Transact. Weāre Looking For a Data Scientist With Expertise In Fraud And Risk To Detect And Prevent These Threats To Our Community. You Will
GENERATE INSIGHTS & SHAPE DIRECTION
- Translate complex data into actionable recommendations for the Fraud engineering and operations teams.
- Define and own the KPIs that measure the cost of fraud, strategies to prevent it, and impact to users and marketplace performance.
- Analyze the effectiveness of existing methods and partner with product and machine learning engineers to develop better anti-fraud practices.
DRIVE EXPERIMENTATION & MEASUREMENT
- Partner with product managers, engineers, and operations teams to design, implement, and evaluate feature rollouts to combat bad actors on the platform.
- Define and own the experimentation playbook for Fraud at Whatnot.
- Develop frameworks for causal inference and impact measurement of efforts that are not well-suited to A/B testing.
- Ensure Whatnotās internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains.
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 and platform enhancements.
LEAD CROSS-FUNCTIONAL COLLABORATION
- Advocate for data-driven decision-making and foster a culture of measurement across the trust & risk organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Bring data support to company-critical investigations to quantify and thwart bad actor tactics, and help generalize outputs to create longer-term protections for different fraud vectors.
- Serve as a thought leader to Trust & Risk leadership, shaping how we build, launch, and iterate on fraud strategy across the platform.
LOCATION
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 Data Scientist, Risk & Fraud, you bring:
EXPERIENCE & EXPERTISE
- 5+ years of experience in the Data field, and 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
- Bachelorās degree in Computer Science, Economics, Statistics, Cybersecurity, or a related field, or equivalent work experience.
- Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data.
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 trust & risk strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
COMPENSATION
For Full-Time (Salary) US based applicants: $185,000/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.
š 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.
Compensation Range: $185K - $240K
See all 27+ Data Scientist at Whatnot jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Scientist at Whatnot roles.
Get Access To All JobsTips for Finding Data Scientist Jobs at Whatnot Jobs
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.
Data Scientist at Whatnot jobs are hiring across the US. Find yours.
Find Data Scientist at Whatnot JobsFrequently 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 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT and CPT for current students, and J-1 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.
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