Scientist Jobs at Whatnot with Visa Sponsorship
Scientist jobs at Whatnot 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 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 Scientist Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs at Whatnot.
Get Access To All JobsTips for Finding Scientist Jobs at Whatnot
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.
Confirm your visa type before applying
Whatnot sponsors H-1B, E-3, TN, F-1 OPT, and J-1 candidates for Scientist roles. Knowing which category fits your situation before outreach means you can address sponsorship requirements directly and avoid delays once a recruiter asks.
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.
Plan around H-1B cap deadlines if you are on OPT
If you are on F-1 OPT, USCIS only accepts H-1B cap petitions during the March registration window for an October 1 start. Make sure any Whatnot offer timeline accounts for this, and confirm whether STEM OPT extension covers any gap period.
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.
Frequently 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 visa for Australian citizens, TN visa for Canadian and Mexican nationals, F-1 OPT and CPT for students, J-1 visa 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.