Senior Data Scientist, Ads Integrity

🕒 August 27

🇺🇸 United States – Remote

💵 $190.8k - $267.1k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Reddit, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• 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 behavioral networks to uncover emerging fraud patterns, size impact, identify root causes, and translate findings into detection and enforcement requirements • Design and develop scalable ads fraud detection and enforcement pipelines with Engineering and Machine Learning • Own the full detection lifecycle, including backtesting, threshold calibration, offline and online evaluation, launch validation, experimentation, monitoring, drift detection, incident response, rollback, and retirement • Build and maintain statistical, machine learning, and GenAI-enabled models or prototypes • Balance fraud loss, platform and advertiser risk, customer experience, false-positive costs, operational capacity, and business goals when recommending thresholds and enforcement strategies • Partner across Ads and Safety to shape strategy and roadmaps, strengthen data foundations, close policy and enforcement gaps, and meet governance and compliance standards • Translate complex analyses into clear narratives and actionable recommendations for technical and non-technical stakeholders, including senior leaders • Mentor other data scientists and analysts

🎯 Requirements

• Relevant experience in Data Science, Applied Science, or a related quantitative role, preferably in ads fraud, financial fraud, or account risk, Trust & Safety, platform integrity, or enforcement engineering • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics, or another quantitative field • With an M.S., 4+ years of industry data science experience; with a Ph.D., 2+ years of industry data science experience • Experience building or materially shaping production detection and automated enforcement pipelines, including batch or streaming data, feature engineering, rules or models, decisioning, monitoring, and feedback loops • Strong command of fraud or abuse detection methods and evaluation, including label design, precision and recall tradeoffs, calibration, threshold selection, false-positive analysis, drift detection, and adversarial adaptation • Experience partnering with Product and Engineering teams to translate analyses and prototypes into reliable production systems • Experience applying AI and large language models (LLMs) to practical data science workflows • Understanding of complex behavioral networks or large-scale activity patterns; graph or network analysis, clustering, anomaly detection, or natural language processing is valuable • Fluency in statistical analysis, Python or a similar programming language, and SQL • Ability to work independently across complex data systems and unfamiliar codebases • Ability to tackle ambiguously defined problems and move from investigation to scalable, reusable solutions • Strong technical leadership and communication skills, with experience influencing cross-functional roadmaps and aligning stakeholders

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Medical, dental, and vision insurance • Opportunity to opt out of interview recording, transcription, and summarization