Senior Data Scientist, Ads Integrity

Reddit is a community of communities It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet

Every day, Reddit users submit, vote, and comment on the topics they care most about With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information

For more information, visit www.redditinc.com .

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as youd like.

Reddit is poised to innovate and grow like never before, and Safety is a critical accelerant of that growth The Safety org is Reddit’s central Trust & Safety organization, protecting users from bad experiences by stopping harmful content, behaviors, and abuse across the platform

We are looking for a Senior Data Scientist to lead ads fraud detection and scaled enforcement within Safety You will partner closely with Ads Product, Engineering, Machine Learning, Operations, Policy, Legal, and fellow Safety data scientists to identify emerging ads fraud, define rigorous measurement and evaluation standards, and turn investigations into durable signals, models, rules, and enforcement pipelines

This is a high-impact role with exceptional opportunity for ownership and growth: as an early leader in a greenfield space, you will help define the strategy, shape cross-functional roadmaps, build foundational capabilities, and expand your scope as Reddit’s ads integrity program matures.

Responsibilities

• Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks that make performance measurable and defensible.
• Analyze large, complex datasets and networks of behavior to uncover emerging fraud patterns, size their impact, identify root causes, and