Amazon Ads
Advertising
SeniorAppliedScienceManager,TrafficQuality
Neural analysis suggests this role is
optimal for Manager candidates.
“Senior Applied Science Manager, Traffic Quality at Amazon Ads. Skills: Machine Learning, Data Science, Traffic Quality, Leadership. Define science vision. Translate direction into plans”
What You'll Achieve.
Protect advertiser spend annually; Maintain seamless user experience
Industry & Context.
Problem definitions; Competing objectives; Sophisticated trade-offs; Root cause analysis
What They're Looking For.
Must Have
10+ years ML/AI solutions, Master's degree in Computer Science, 5+ years people management
Nice to Have
10+ years practical ML experience, 5+ years big data/ML/modeling, PhD in Computer Science, Experience with big data technologies, Experience with Java, C++, R, MATLAB, Python
What You'll Do.
Define science vision
Translate direction into plans
Deliver scientific solutions
Identify technology gaps
Determine resource allocation
Design statistical solutions
Implement statistical solutions
Detect robotic traffic patterns
Detect human traffic patterns
Own development cycle
Review modeling decisions
Balance precision and recall
Improve methodologies
Stay current with advancements
Build publication strategy
Champion best practices
Maintain monitoring systems
Respond to metric deviations
Investigate quality signals
Perform root cause analysis
Protect advertiser spend
Maintain user experience
Partner with engineers
Partner with product managers
Solve IVT detection problems
Influence strategic initiatives
Build succession plans
Foster innovation culture
How You'll Work.
Team & Collaboration
Cross-functional teams; Partner with engineers; Partner with product managers
Full Job Description
Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces. Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience. Key job responsibilities Strategic Leadership & Vision - Define long-term science vision for Traffic Quality driven by advertiser and publisher needs, translating direction into actionable team plans. - Lead teams solving strategically important business problems independently, delivering robust, scalable scientific solutions with limited guidance. - Proactively identify technology gaps and business opportunities, determining resource allocation priorities. Scientific I
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