Data Scientist, Trust & Risk

Company: Tbwa Chiat/Day Inc
Location: Seattle
Posted on: April 1, 2025

Job Description:

WhatnotWhatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We're building the future of ecommerce, bringing together community, shopping and entertainment. We are committed to our values, and as a remote co-located team, we operate out of hubs within the US, UK, Ireland, Poland, and Germany today.We're innovating in the fast-paced world of live auctions from fashion, beauty, electronics to collectibles like trading cards, comic books, and even live plants. Whatnot has something for everyone.And, we're growing. Whatnot has been one of the fastest growing marketplaces and we're hiring forward-thinking problem solvers across all functional areas.In order to continue this growth, it's important that Whatnot remains a safe and trusted space to interact and transact. We're looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. You will:

• Define and own the KPIs that measure the Fraud, Risk, and Trust & Safety domains
• Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
• Use our modern data stack to build data products and create production-quality dashboards to convey insights.
• Create rules and systems to enhance the full lifecycle of risk and fraud measurement. This can include: chargeback prevention, refund abuse detection and reduction, and measurement to capture the tradeoffs in reducing fraudulent and unsafe behavior on the platform
• Analyze the user reports and behaviors that drive them on our platform to determine how to minimize the exposure of negative content
• Define and advance best practices to enable system-level solutions to reduce fraud and payment risk.
• Analyze the effectiveness of existing methods and partner with Machine Learning and Trust & Safety teams to develop better anti-fraud practices.
• Inform the engineering, operations, and machine learning roadmaps through analysis of marketplace, user behavior, and product trends.Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, or New York City hub. About YouWe are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, and Operations teams to systematically detect, measure, and action against fraud and other threats to Whatnot's platform.You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning, ideally with previous experience within fraud-adjacent domains.In addition to 3+ years of experience in the Data field, you should have:
  • 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
  • Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators
  • Bachelor's degree in Computer Science, Economics, Statistics, 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
  • Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  • Comfortability with data warehouses and big data technologies such as Snowflake, Big Query, Red Shift, Spark, DBT
  • Expert in using SQL for data analysis, reporting, and dashboarding
  • Experience with a scripting language such as Python or R
  • Aptitude and experience in applied statistical modeling and machine learning techniques
  • Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooksFor US-based applicants: $158,000 - $205,000/year + benefits + stock optionsThe 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.
    • 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 on both food and 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
    • 16 weeks of paid parental leave + one month gradual return to workWhatnot 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.
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Keywords: Tbwa Chiat/Day Inc, Seattle , Data Scientist, Trust & Risk, Other , Seattle, Washington