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Data Scientist, Finance

Whatnot · San Francisco, CA · Remote · Active · Ashby

Job facts

FieldValue
CompanyWhatnot
TitleData Scientist, Finance
Normalized title-
Department / teamEngineering / Engineering, Data & Marketplace Integrity
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Whatnot.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyWhatnot
Source06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
ATS providerAshby

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 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 Partner closely across the business to find improvements/opportunities and influence decisions using data analytics methodologies and tools. Act as the data owner for Finance functions, including but not limited to accounting, tax, strategic finance, profitability, and the executive office. Build production-quality data products, dashboards, notebooks, and actionable KPIs to convey critical financial insights. Drive incremental improvements in contribution margin by deeply understanding business drivers and analyzing cross-functional initiatives. Collaborate on data and analytics engineering work to ensure financial datasets are enriched, reliable, and scalable. 👋 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. We are looking for intellectually curious, highly motivated individuals with a strong background in data tooling and visualization. The ideal candidate thrives at the intersection of finance and engineering, prioritizing speed and utility over complex statistical modeling. In addition to 6+ years of experience in the Data Analytics/Science field, you should have: A background with some form of Consulting, Fintech, Payments, or Finance; essentially, finance should not be a new concept to you. Expertise in data engineering and analytics engineering essentially, data storage and architecture should not be a new concept to you. A strong background in data tooling and visualization, with a firm grasp of business intelligence tools and self-serving notebooks. Bonus points for D3, React or Web app development. Expert-level SQL skills for data analysis, reporting, and dashboarding. Bachelor’s degree in Computer Science, Finance, or a related technical field. Excellent verbal communication skills, with the ability to articulate complex financial-data concepts to both technical and non-technical collaborators 🎁 Benefits Generous Holiday and Time off Policy 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.

Full job record

Job ID5e80d13a9010b8c2d42d52a005b78848edb27b3d
Org IDcd977e91-f8a4-4e3a-b46d-89af347f3aa9
Source ID06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
Board ID06a1bd7b-ead5-40d0-ad36-fe59f0d0711a
Providerashby
Provider Job Key43855b81-43ad-4b85-965d-b974f32fc76e
TitleData Scientist, Finance
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentEngineering
TeamEngineering, Data & Marketplace Integrity
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/whatnot/43855b81-43ad-4b85-965d-b974f32fc76e
Apply URLhttps://jobs.ashbyhq.com/whatnot/43855b81-43ad-4b85-965d-b974f32fc76e/application
First Seen At2026-05-29 05:19:20Z
Last Seen At2026-06-06 18:54:31Z
Last Checked At2026-06-06 18:54:31Z
Last Changed At2026-05-29 05:19:20Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=whatnot/date=2026-06-06/2026-06-06T18-53-52-414Z-1b878d237246f8b784f766577fdcfe1c21e93332e4f60a25c9a85a92a450c1a7.json
Event Fields
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  "last_changed_at": "2026-05-29T05:19:20.638Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "San Francisco",
    "region": "CA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T18:54:31.456Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "San Francisco, CA",
      "city": "San Francisco",
      "region": "CA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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  "team": "Engineering, Data & Marketplace Integrity",
  "title": "Data Scientist, Finance",
  "jobUrl": "https://jobs.ashbyhq.com/whatnot/43855b81-43ad-4b85-965d-b974f32fc76e",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/whatnot/43855b81-43ad-4b85-965d-b974f32fc76e/application",
  "isListed": true,
  "isRemote": true,
  "location": "San Francisco, CA",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Engineering",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Los Angeles, CA"
    },
    {
      "location": "Seattle, WA"
    },
    {
      "location": "New York, NY"
    }
  ]
}
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