Data Scientist

About The Company

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform operating across North America and Europe, revolutionizing the way people buy, sell, and discover their favorite items. By seamlessly blending community, entertainment, and e-commerce, Whatnot creates an engaging and trusted marketplace experience. With a diverse, remote co-located team and hubs in the US, UK, Germany, Ireland, and Poland, the company is committed to building innovative online marketplaces. From fashion, beauty, electronics, to collectibles like trading cards, comic books, and live plants, Whatnot offers a dynamic platform where users can participate in live auctions and community-driven shopping experiences. As one of the fastest-growing marketplaces, Whatnot is dedicated to empowering passionate individuals and fostering a vibrant community through cutting-edge technology and strategic growth initiatives.

About The Role

We are seeking a highly skilled Data Scientist specializing in fraud detection and risk management to support our mission of maintaining a safe and trustworthy environment for our users. In this role, you will analyze complex data sets, generate actionable insights, and develop strategies to prevent fraudulent activities on our platform. Your expertise will be instrumental in shaping our fraud prevention frameworks, driving experimentation, and building data-driven tools that enhance our operational capabilities. Collaborating closely with product managers, engineers, and trust & safety teams, you will lead initiatives to measure the effectiveness of anti-fraud strategies, influence product roadmaps, and ensure the integrity of our marketplace. The ideal candidate will possess a strong background in data analytics, causal inference, and cross-functional leadership, with a passion for solving real-world problems at scale.

Qualifications

5+ years of experience in data analysis, data science, or related fields supporting anti-fraud, risk, or trust & safety initiatives

3+ years of experience specifically in fraud detection, risk management, or integrity-related projects

Bachelor’s degree in Computer Science, Economics, Statistics, Cybersecurity, or a related discipline (or equivalent work experience)

Advanced SQL skills and experience with modern data warehouses such as Snowflake, BigQuery, or Redshift

Proficiency in Python or R for data analysis, modeling, and experimentation

Experience designing and analyzing A/B tests and applying causal inference techniques

Strong data visualization skills and familiarity with BI tools for creating dashboards and reports

Excellent communication skills, capable of translating complex insights for diverse audiences

Proven ability to lead cross-functional projects and influence strategic decision-making

Comfortable working in fast-paced, ambiguous environments with a high degree of ownership

Responsibilities

Translate complex data into actionable insights for the fraud engineering and operations teams to mitigate risks effectively

Define, track, and optimize KPIs related to fraud costs, detection strategies, and marketplace impact

Analyze the effectiveness of current anti-fraud measures and collaborate with product and machine learning teams to enhance these strategies

Design, implement, and evaluate experiments to test new fraud prevention features and tactics

Develop frameworks for causal inference and impact measurement outside traditional A/B testing environments

Create dashboards, data pipelines, and self-serve tools to empower teams across the organization

Partner with engineering teams to improve data accessibility, quality, and instrumentation for new product features

Advocate for data-driven decision-making and foster a culture of measurement within the trust & risk organization

Communicate insights clearly to both technical and non-technical stakeholders, influencing product roadmaps and strategic initiatives

Support investigations into fraud tactics, quantifying their impact and developing long-term protections against emerging threats

Serve as a thought leader, shaping fraud prevention strategies and best practices across the platform

Benefits

Flexible time off policy and company-wide holidays, including seasonal breaks

Comprehensive health insurance options covering Medical, Dental, and Vision

Support for remote work with home office setup allowances

Monthly stipends for cellphone and internet expenses

Care benefits and wellness allowances to support overall well-being

Annual childcare assistance allowances and lifetime family planning benefits

Retirement plans including 401(k) with employer matching in the US and pension plans internationally

Monthly allowances for product testing and app usage ("dogfooding")

Paid parental leave of 16 weeks plus a gradual return-to-work program

Equal Opportunity

Whatnot is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other protected characteristic. We believe that embracing diverse perspectives and experiences enhances our company culture and drives innovation. All qualified applicants will receive consideration for employment without regard to any protected status.

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