Senior Data Scientist - Ad Fraud & Attribution

Salary

Core Qualifications

Key Responsibilities

• •Provide analytical depth and cross-team influence to keep platform safe and accurately measured.
• •Combine technical modeling with strong communication and organizational influence.
• •Shape fraud detection evolution and attribution logic through modeling and strategic conversations.
• •Work closely with cross-functional teams including data science, product, engineering, and business stakeholders.
• •Perform hands-on data analysis, model development, team meetings, and stakeholder presentations.
• •Separate genuine customer behavior from malicious or noisy signals.
• •Investigate attack surfaces, bot behavior, and suspicious cohorts.
• •Quantify uncertainties, biases, and econometric effects.
• •Validate hypotheses using statistical reasoning.
• •Improve attribution logic using statistical, econometric, ML, or neural network techniques.
• •Guide PMs and business in understanding trade-offs.
• •Choose between ML, econometric models, or neural networks and articulate why.