Scientist Jobs at Whatnot with Visa Sponsorship
Whatnot hires Scientists to power its live commerce and collectibles marketplace with data-driven insights and machine learning. The company has a consistent track record of sponsoring international talent across multiple visa categories, making it a realistic target if you're building a research or applied science career in U.S. retail tech.
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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+ Scientist at Whatnot jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist at Whatnot roles.
Get Access To All JobsTips for Finding Scientist Jobs at Whatnot Jobs
Align your portfolio to live commerce problems
Whatnot operates at the intersection of real-time bidding, fraud detection, and recommendation systems. Frame your research experience around low-latency prediction, marketplace dynamics, or trust and safety to signal direct relevance to their product science priorities.
Target your application to the right science team
Scientist roles at Whatnot span applied machine learning, trust and safety, and growth analytics. Applying to the team whose published work or product area matches your background gives you a stronger signal-to-noise ratio than a general application.
Prepare your degree equivalency documentation early
For H-1B specialty occupation filings, USCIS requires a credential evaluation if your degree is from outside the U.S. Get a NACES-member evaluation completed before the offer stage so it does not hold up the I-129 preparation timeline.
Use Migrate Mate to filter open Scientist roles
Scientist postings at Whatnot cycle across multiple teams and seniority levels. Use Migrate Mate to filter active openings by visa type so you are targeting roles where sponsorship is already confirmed, not guessing from a generic job listing.
Scientist at Whatnot jobs are hiring across the US. Find yours.
Find Scientist at Whatnot JobsFrequently Asked Questions
Does Whatnot sponsor H-1B visas for Scientists?
Yes, Whatnot sponsors H-1B visas for Scientist roles. The company has an established pattern of supporting international candidates across its data and machine learning teams. Because H-1B cap petitions are tied to an annual registration window and an October 1 start date, you should surface the sponsorship conversation early in the interview process to align timelines with your recruiter.
How do I apply for Scientist jobs at Whatnot?
You can find active Scientist openings at Whatnot through Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. Whatnot's interview process for Scientist roles typically includes a take-home or live coding assessment, a research presentation or case study, and cross-functional interviews with product and engineering stakeholders.
Which visa types does Whatnot sponsor for Scientist roles?
Whatnot sponsors a broad range of visa categories for Scientist positions, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 for exchange visitors, and EB-2 or EB-3 for permanent residence pathways. The right category depends on your nationality, educational background, and where you are in your immigration timeline.
What qualifications does Whatnot expect for Scientist roles?
Whatnot typically hires Scientists with graduate-level training in machine learning, statistics, or a related quantitative field. Hands-on experience with recommendation systems, real-time data pipelines, fraud or trust modeling, or marketplace experimentation is valued given the company's live commerce product. Strong publication records or demonstrated production impact from prior industry roles can strengthen an application significantly.
How do I plan my timeline if Whatnot is sponsoring my work visa?
Timeline depends on your visa category. H-1B cap cases require USCIS registration in March and cannot start before October 1, so factor in a potential gap if you are between jobs. E-3 and TN cases move faster, typically taking two to six weeks from offer to approved status. For PERM-based Green Card sponsorship under EB-2 or EB-3, expect the process to begin well after you have started the role.
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