Data Scientist, Trust & Risk

🚀 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. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we’re building the future of online marketplaces—together.

From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.

And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. 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, 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.

US Based:

Team members in this role are required to be within commuting distance of our San Francisco, Los Angeles, Seattle, or New York City hubs.

👋 You

Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.

As our next data engineer, you should have 3+ years of experience in the Data field, plus:

• 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 notebooks

💰Compensation

For US-based applicants: $158,000 - $205,000/year + benefits + stock options

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
  
  • We expect all employees to actively use the product!
• 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.