Staff Data Scientist, Scaled Enforcement

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 ,+ active communities and approximately M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit . Location: US remote-friendly Reddit has a flexible first workforce We are looking for a Staff Data Scientist specialized in Spam to join our Safety Enforcement Data Science team. Our team focuses on identifying trends in platform activity signaling potential or existing threats, providing intelligence to relevant stakeholders, and developing automated enforcement pipelines. Our scope includes harmful, scaled activity that is relevant to any of our policy violations, including spam, coordinated inauthentic behavior, and general abuse. This role will involve exposure to sensitive content along with expectations of incident response on-call. Responsibilities Elevate our enforcement strategy and capabilities by partnering with leaders in safety, community, and legal. Lead our Scaled Abuse detection and enforcement efforts across all policy violations with an emphasis on the many forms of Spam. Provide data driven guidance to our Product and Engineering teams in developing real time enforcement systems that enable us to mitigate exposure to harmful and unwanted content. Mentor Data Scientists and Threat Analyst in technical approaches for mitigating and detecting abuse. Share intelligence gathered to other safety stakeholders and executive decision makers. Stay up to date with emerging trends and techniques in abuse detection and prevention while applying this knowledge to improve our systems. Required Qualifications:  Relevant experiences in quantitative or data science roles, preferably for safety, enforcement engineering, fraud etc. Ph.D., M.S. or Bachelors degree in Statistics, Machine Learning, Economics, Econometrics, Computer Science, or other quantitative fields (If M.S. or Bachelors degree, a minimum of + years of industry data science experience required; If PhD degree, a minimum of + years of industry data science experience required) Deep understanding of analyzing complex networks of behavior or large scale content patterns. Examples include network analysis, natural language processing at scale, clustering of unstructured data, etc. Fluent with statistical analysis, programming languages (e.g., Python/R) and querying relational databases (e.g., SQL) Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike Able to tackle ambiguous and undefined problems Experience with enforcement pipeline development and spam mitigation is preferred. Benefits: Comprehensive Healthcare Benefits k Matching Workspace benefits for your home office Personal & Professional development funds Family Planning Support Flexible Vacation (please use them) & Reddit Global Wellness Days + months paid Parental Leave Paid Volunteer time off Pay Transparency: This job posting may span more than one career level. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base pay range for this position is:$,—$, USD