Senior Data Scientist, Reddit
Ads Integrity
$190.8-267.1k
+ Equity
Online platform for thoughts, experiences & discussions
Be an early applicant
Online platform for thoughts, experiences & discussions
1001+ employees
Be an early applicant
$190.8-267.1k
+ Equity
1001+ employees
Company mission
To empower communities, and make their knowledge accessible to all.
Role
Who you are
- 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, or with a Ph.D., 2+ years of industry data science experience
- Demonstrated 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 closely with Product and Engineering teams to translate analyses and prototypes into reliable production systems; experience working across Ads, Safety, fraud, risk, or platform-integrity organizations is preferred
- Experience applying AI and large language models (LLMs) to practical data science workflows, such as threat discovery, content classification, signal development, investigation automation, or detection and enforcement systems
- 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 is valuable
- Fluency in statistical analysis, Python or a similar programming language, and SQL, with the ability to work independently across complex data systems and unfamiliar codebases
- Ability to tackle ambiguously defined problems, deconstruct them into precise and tractable components, and move from investigation to scalable, reusable solutions
- Strong technical leadership and communication skills, with a track record of influencing cross-functional roadmaps, aligning stakeholders, and explaining complex topics to technical and non-technical audiences
What the job involves
- Reddit is poised to innovate and grow like never before, and Safety is a critical accelerant of that growth
- The Safety org is Reddit’s central Trust & Safety organization, protecting users from bad experiences by stopping harmful content, behaviors, and abuse across the platform
- We are looking for a Senior Data Scientist to lead ads fraud detection and scaled enforcement within Safety
- You will partner closely with Ads Product, Engineering, Machine Learning, Operations, Policy, Legal, and fellow Safety data scientists to identify emerging ads fraud, define rigorous measurement and evaluation standards, and turn investigations into durable signals, models, rules, and enforcement pipelines
- This is a high-impact role with exceptional opportunity for ownership and growth: as an early leader in a greenfield space, you will help define the strategy, shape cross-functional roadmaps, build foundational capabilities, and expand your scope as Reddit’s ads integrity program matures
- Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling plans, metrics, and evaluation frameworks that make performance measurable and defensible
- Analyze large, complex datasets and networks of behavior to uncover emerging fraud patterns, size their impact, identify root causes, and translate findings into detection and enforcement requirements
- Design and develop scalable ads fraud detection and enforcement pipelines in partnership with Engineering and Machine Learning, including feature generation, rules and models, near-real-time scoring, actioning, review feedback loops, and observability
- Own the full detection lifecycle: 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 that improve fraud detection, risk identification, investigator efficiency, and enforcement quality
- Balance fraud loss, platform and advertiser risk, customer experience, false-positive costs, operational capacity, and business goals when recommending detection thresholds and enforcement strategies
- Partner across Ads and Safety to shape strategy and roadmaps, strengthen data foundations, close policy and enforcement gaps, and ensure solutions meet governance and compliance standards
- Translate complex analyses into clear narratives and actionable recommendations for technical and non-technical stakeholders, including senior leaders, and mentor other data scientists and analysts
Our take
Reddits is an online platform that hosts thousands of message board communities (known as subreddits) designed to foster authentic human connection. With more than 130,000 communities covering everything from food, entertainment and sports, to niche interests for highly specific audiences, there's virtually a space for everyone.
The platform attracts over 120 million daily users and billions of monthly page views. While these figures are smaller than those of social media giants like Facebook and X, Reddit stands out by offering easily discoverable communities where users can dive deep into virtually any topic imaginable.
Today, Reddit continues to grow its user base and expand its reach, remaining a unique hub for conversation, connection and shared interests. With its strong community-driven model and steady revenue streams, it's most definitely positioned to stay a central part of online culture for years to come.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
57% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Aug 2021
$410m
SERIES F
Feb 2021
$250m
SERIES E
Total funding: $1.2bn
Company benefits
- Comprehensive health benefits
- Flexible vacation & Reddit global days off
- Family planning funds & 4+ months paid parental leave
- Personal & professional development funds
- Paid volunteer time off
- Workspace & home office benefits
Company HQ
SoMa, San Francisco, CA
Leadership
Steve Huffman
(CEO & Founder)After co-founding Reddit in 2005, they stepped away from the company to co-found Hipmunk, where they were the CTO for 5 years. They returned to Reddit in 2015, and have been the CEO since.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 119 more jobs at Reddit