Quick summary
- Work type
- Remote
- Location
- Remote
- Salary
- $190,800–$267,100 / yr
- Posted
- 61 days ago
- Freshness
- Confirmed live today
Market check
Salary context
How this pay compares to similar roles
This role pays more than 70% of similar roles. Most pay $162,000–$247,500 — the blue band above. At the midpoint, this role pays about $229k versus about $205k for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has 89 open roles on FindRole.
Listed pay typically runs $216,700–$303,000 across 89 roles with salary data.
Most-posted roles
- Software Engineer 27
- Machine Learning Engineer 10
- Product Manager 8
- Data Scientist 7
- Backend Engineer 3
At a glance
TL;DR · Senior Data Scientist, Ads Integrity
The Senior Data Scientist, Ads Integrity joins the Safety organization to lead ads fraud detection and scaled enforcement. This role involves identifying emerging fraud patterns, defining fraud taxonomies, and establishing measurement and evaluation standards. You will build scalable detection pipelines, including feature generation, rules, and models, while owning the full detection lifecycle from backtesting to incident response. Key responsibilities include analyzing complex behavioral networks to translate findings into durable signals and mentoring other data scientists. Required skills include proficiency in Python, SQL, and statistical analysis, alongside experience with machine learning, GenAI, and large language models. You must demonstrate expertise in fraud detection methods like clustering, anomaly detection, and natural language processing to solve platform integrity problems and protect users from harmful content and abuse.
What does a Data Scientist earn in Remote?
Median $216300 from 36 postings across 16 companies.
Skills
What you'll do
- Define fraud taxonomies, labels, sampling plans, and evaluation frameworks to make ads fraud performance measurable.
- Analyze complex datasets and behavioral networks to uncover emerging fraud patterns and identify root causes.
- Design and develop scalable ads fraud detection and enforcement pipelines including feature generation and real-time scoring.
- Manage the full detection lifecycle including backtesting, threshold calibration, launch validation, and incident response.
- Build and maintain statistical, machine learning, and GenAI-enabled models to improve risk identification and enforcement quality.
- Balance fraud loss, platform risk, and customer experience when recommending detection thresholds and enforcement strategies.
- Partner with cross-functional teams to shape strategy, strengthen data foundations, and ensure compliance with governance standards.
- Translate complex analyses into actionable narratives and recommendations for technical and non-technical stakeholders.
What we're looking for
- Relevant experience in Data Science, Applied Science, or a related quantitative role, preferably in ads fraud, financial fraud, or platform integrity.
- Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics, or another quantitative field.
- 4+ years of industry data science experience with an M.S. degree.
- 2+ years of industry data science experience with a Ph.D. degree.
- Demonstrated experience building or shaping production detection and automated enforcement pipelines for batch or streaming data.
- Strong command of fraud or abuse detection methods, including label design, precision/recall tradeoffs, calibration, and drift detection.
- Fluency in statistical analysis, Python, and SQL.
- Experience partnering with Product and Engineering teams to translate analyses into production systems (preferred).
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