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Data Scientist, Risk & Fraud

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Whatnot

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Location:
United States , San Francisco, CA ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

185000.00 - 240000.00 USD / Year
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Job Description:

Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community.

Job Responsibility:

  • 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
  • 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 Whatnot’s internal KPIs treat fraudulent actors appropriately in measurement outside of fraud domains
  • 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
  • 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

Requirements:

  • 5+ years of experience in the Data field
  • 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems
  • Bachelor’s 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
  • 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
  • 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
What we offer:
  • 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
  • Parental Leave
  • 16 weeks of paid parental leave + one month gradual return to work

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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