or apply directly on Reddit's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 20 days Reddit's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Reddit's roles list one
- Ghost-job risk at Reddit
- high 90 stale, 3 reposted of 150 open
- Hiring momentum
- 259 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Reddit's own greenhouse board since 2026-08-03. Full hiring picture for Reddit.
About this role
As a Senior Data Scientist in Ads Integrity at Reddit, you will lead the strategy for detecting ads fraud and developing enforcement mechanisms. Your role involves analyzing complex datasets to uncover fraud patterns, designing scalable detection pipelines, and collaborating with cross-functional teams to implement solutions that enhance user safety. This position offers significant ownership and growth opportunities as you help shape the ads integrity program.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Reddit as an employer.
What you need
- Relevant experience in Data Science, Applied Science, or a related quantitative role, preferably in ads fraud, financial fraud, or account risk.
- 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, or with a Ph.D., 2+ years of industry data science experience.
- Demonstrated experience building or materially shaping production detection and automated enforcement pipelines.
- 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 closely with Product and Engineering teams to translate analyses and prototypes into reliable production systems.
- Fluency in statistical analysis, Python or a similar programming language, and SQL.
Nice to have
- Experience working across Ads, Safety, fraud, risk, or platform-integrity organizations.
- Experience applying AI and large language models (LLMs) to practical data science workflows.
- Deep understanding of complex behavioral networks or large-scale activity patterns; experience with methods such as graph or network analysis, clustering, anomaly detection, or natural language processing.
What you get
- 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
Worth weighing
- No specific mention of remote work limitations beyond the U.S.
- The role involves significant cross-functional collaboration, which may require strong interpersonal skills.
- The base salary range is quite broad, indicating potential variability in offers based on experience and negotiation.
Summarised from Reddit's posting. Read the full original.
Listed by Reddit on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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