Senior Data Scientist, Safety Enforcement

🔥 7 hours ago

🇺🇸 United States – Remote

💵 $190.8k - $267.1k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

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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

• Own one or more defined enforcement problem areas from problem framing and signal discovery through labeling, taxonomy, model or rule development, thresholding, rollout, monitoring, and iteration • Analyze large-scale behavioral, content, account, and network data to identify adversarial patterns, emerging threats, and mitigation gaps • Develop models, classifiers, scoring systems, rules, and analytical prototypes using statistical, machine-learning, or GenAI methods • Create evaluation frameworks addressing precision, recall, calibration, coverage, robustness, fairness, user friction, reviewer capacity, and operational costs • Partner with Engineering and Safety ML to productionize approaches and define data, logging, guardrails, monitoring, alerting, escalation, and rollback criteria • Translate written policy and product requirements into modelable targets, labels, decision rules, reviewer workflows, and measurable outcomes • Design staged rollouts, experiments, and observational analyses to measure real-world impact and downstream effects • Support investigations and urgent escalations, conduct post-incident analyses, and develop durable detection or monitoring improvements • Build reusable datasets, evaluation harnesses, monitoring tools, and documentation • Communicate recommendations to technical and non-technical partners and mentor junior peers • Track emerging abuse tactics and advances in adversarial ML, language models, synthetic data, and human-in-the-loop safety systems

🎯 Requirements

• Ph.D. with 4+ years OR Master’s degree with 8+ years of relevant industry experience in Data Science, Applied Science, Economics, or a related quantitative role • Applied experience in safety, enforcement engineering, fraud, or similar fast-paced, adversarial domains • Expertise in SQL and Python for production-grade, reusable analytical code and data pipelines • Strong background in statistical analysis, experiment design, causal modeling, and machine-learning techniques • Practical knowledge of evaluating real-world decision systems, including sampling, label quality, class imbalance, precision/recall, calibration, thresholding, drift, and monitoring • Ability to deconstruct ambiguous problems into scopable components and drive impactful decisions with cross-functional teams • Exceptional communication skills for technical and non-technical stakeholders • Role may involve exposure to sensitive content • Participation in an incident-response on-call rotation, including occasional work outside normal hours

🏖️ 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 • Medical, dental, and vision insurance • Equity in the form of restricted stock units • Potential commission, depending on the position offered • Interview recording opt-out option