- Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks.
- Analyze large, complex datasets and networks of behavior to uncover emerging fraud patterns, size their impact, identify root causes, and translate findings into detection and enforcement requirements.
- Design and develop scalable ads fraud detection and enforcement pipelines in partnership with Engineering and Machine Learning.
Qualifications:
- Relevant experience in Data Science or Applied Science, preferably in ads fraud, Trust & Safety, or enforcement engineering.
- Ph.D. or M.S. in a quantitative field with demonstrated experience building production detection pipelines.
- Strong command of fraud detection methods, including label design, precision/recall tradeoffs, and drift detection.
- Comprehensive healthcare benefits and income replacement programs, including 401k with employer match.
- Global benefit programs for workspace, professional development, and caregiving support.
- Flexible vacation, paid volunteer time off, and generous paid parental leave.
Reddit is a community of communities, built on shared interests and authentic conversations. With 100,000+ active communities and approximately 130 million daily active users, it is one of the internet's largest sources of information, fostering an open and inclusive culture.
#J-18808-Ljbffr
Senior Data Scientist, Ads Integrity (Fully Remote) Arbeitgeber: Reddit
Reddit bietet eine dynamische und inklusive Arbeitsumgebung, die es Mitarbeitern ermöglicht, an der Schnittstelle von Technologie und Gemeinschaft zu arbeiten. Mit umfassenden Gesundheitsleistungen, flexiblen Urlaubsregelungen und großzügigen Elternzeitangeboten fördert Reddit das Wohlbefinden seiner Mitarbeiter und unterstützt deren berufliche Entwicklung. Die Möglichkeit, remote zu arbeiten oder in einem der lebhaften Büros in San Francisco, Los Angeles, Chicago oder New York zu sein, macht Reddit zu einem attraktiven Arbeitgeber für talentierte Data Scientists, die einen bedeutenden Einfluss auf die Produktstrategie ausüben möchten.