Senior Data Scientist, Ads Integrity

Accountabilities

• • Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels, sampling methodologies, metrics, and rigorous evaluation frameworks.
  • Analyze large-scale datasets and behavioral networks to identify emerging fraud patterns, quantify their impact, uncover root causes, and translate insights into actionable detection and enforcement requirements.
  • Partner with Engineering and Machine Learning teams to design and develop scalable fraud detection and automated enforcement pipelines, including feature generation, rules, models, scoring, actioning, feedback loops, and observability.
  • Own the complete detection lifecycle, including backtesting, threshold calibration, offline and online evaluation, experimentation, launch validation, monitoring, drift detection, incident response, rollback, and retirement.
  • Develop and evaluate statistical, machine learning, and GenAI-enabled models or prototypes that improve fraud detection, risk identification, investigation efficiency, and enforcement quality.
  • Balance fraud losses, advertiser and platform risk, customer experience, false-positive costs, operational capacity, and business objectives when recommending detection thresholds and enforcement strategies.
  • Collaborate across Ads and Safety functions to shape strategic priorities, roadmaps, data foundations, policies, and enforcement capabilities while ensuring governance and compliance requirements are met.
  • Translate complex analytical findings into clear narratives, insights, and recommendations for both technical and non-technical audiences, including senior leadership.
  • Mentor data scientists and analysts while contributing technical leadership to a growing ads integrity function.

  Requirements

  • Master’s degree in Statistics, Economics, Computer Science, Applied Mathematics, or another quantitative discipline with 4+ years of industry data science experience, or a Ph.D. in a relevant quantitative field with 2+ years of industry experience.
  • Relevant experience in Data Science, Applied Science, or a related quantitative discipline, ideally within ads fraud, financial fraud, account risk, Trust & Safety, platform integrity, or enforcement engineering.
  • Demonstrated experience building or significantly shaping production detection and automated enforcement systems, including batch or streaming data, feature engineering, rules or models, decisioning, monitoring, and feedback loops.
  • Strong knowledge of fraud and abuse detection methodologies, including label design, precision and recall tradeoffs, calibration, threshold selection, false-positive analysis, drift detection, and adversarial adaptation.
  • Proven ability to partner with Product and Engineering teams to turn analytical insights and prototypes into reliable, scalable production systems.
  • Experience applying AI and large language models to practical data science use cases such as threat discovery, classification, signal development, investigation automation, or detection and enforcement.
  • Strong understanding of behavioral networks and large-scale activity patterns, with experience in graph or network analysis, clustering, anomaly detection, or natural language processing considered valuable.
  • Advanced proficiency in statistical analysis, Python or a comparable programming language, and SQL, with the ability to independently navigate complex data systems and unfamiliar codebases.
  • Strong analytical and problem-solving abilities, with a track record of breaking ambiguous problems into precise, actionable components and developing scalable solutions.
  • Excellent technical leadership, communication, and stakeholder management skills, including the ability to influence cross-functional roadmaps and communicate complex concepts clearly to senior and non-technical audiences.
  • Comfortable operating with significant autonomy in a rapidly evolving environment and taking ownership of high-impact initiatives.

  Benefits

  • Base salary range of $190,800–$267,100 USD, depending on factors such as skills, experience, credentials, and location.
  • Eligibility for equity in the form of restricted stock units.
  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) program with employer match.
  • Global benefits designed to support workspace needs, professional development, caregiving, and different lifestyles.
  • Family planning support.
  • Gender-affirming care.
  • Mental health and coaching benefits.
  • Flexible vacation and paid volunteer time off.
  • Generous paid parental leave.
  • Fully remote-friendly work within the United States.
  • Opportunities to make a significant impact in a growing Trust & Safety and ads integrity organization.
  • Supportive environment focused on technical growth, collaboration, and professional development.