Senior Data Scientist, Ads Integrity

📋 Description

• Lead the measurement and detection strategy for ads fraud by defining fraud taxonomies, labels
• Analyze large-scale datasets and behavioral networks to identify emerging fraud patterns, quantify
• Partner with Engineering and Machine Learning teams to design and develop scalable fraud detection
• Own the complete detection lifecycle, including backtesting, threshold calibration, offline and
• Develop and evaluate statistical, machine learning, and GenAI-enabled models or prototypes that
• Balance fraud losses, advertiser and platform risk, customer experience, false-positive costs

🎯 Requirements

• Master’s degree in Statistics, Economics, Computer Science, Applied Mathematics, or another
• Relevant experience in Data Science, Applied Science, or a related quantitative discipline, ideally
• Demonstrated experience building or significantly shaping production detection and automated
• Strong knowledge of fraud and abuse detection methodologies, including label design, precision and
• Proven ability to partner with Product and Engineering teams to turn analytical insights and
• Experience applying AI and large language models to practical data science use cases such as threat

🎁 Benefits

• Base salary range of $190,800–$267,100 USD, depending on factors such as skills, experience
• 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
• Family planning support.