Data Scientist, Traffic Quality
Core
Build advanced capabilities at petabyte scale to detect sophisticated invalid traffic (IVT), including non-human traffic, bot networks, and fraudulent engagement patterns in programmatic advertising.
Role type
Senior IC data scientist (fraud detection & ML research)
Builds
Detection systems for invalid traffic in Amazon Ads
Domain
Advertising technology + machine learning
Deliverable
production ML models
Required skills
machine learning, statistical modeling, deep learning, generative modeling, anomaly detection, time-series analysis, sparse labeling, data analysis, research publication, mentoring
Preferred skills
Python, scripting languages, ML benchmarking, cross-disciplinary project experience, quantitative business analysis
Technologies
EC2, S3, EMR, Sagemaker, RedShift, SQL, Python
Responsibilities
Define and frame new research problems in fraud detection; apply new ML approaches to detect invalid traffic; perform broad data analysis to build business insights; work with unstructured and massive datasets; produce research reports meeting top-tier publication standards; mentor and develop junior scientists
Seniority
Senior, hands-on IC with mentorship responsibilities