Role overview
We 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 5+ 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 Redshift, Snowflake, Big Query, Presto/Trino, Athena, 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
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.