
Applied Scientist Ii, Traffic Quality
5 days ago
PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
- A strong ability in statistical modeling and analysis to provide rigorous solutions that address business needs.
- Hands on development experience in Python, C++, Java, or other OOP language, and exposure to big data systems.
- Demonstrated evidence of building lasting relationships with the team and business stakeholders.
- Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences
Job summary
Advertising at Amazon is a fast-growing, multi-billion dollar business. It spans desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third-party publishers; and extends across the US, EU, APAC, and an increasing number of international geographies.
The Supply Quality (SQ) group operates across all Amazon Advertising products to provide invalid traffic (IVT) filtration, viewability prediction and measurement, and content adjacency policy enforcement capabilities.
Within Supply Quality, the Traffic Quality (TQ) program leverages proprietary and third-party technology to provide invalid traffic (IVT) detection and filtration capabilities to Amazon DSP customers.
Key job responsibilities
- Define a long-term science vision for TQ-3PS, driven fundamentally from the needs of our advertisers and publishers, translating that direction into specific plans for the science team. Interpret complex and interrelated data points and anecdotes to build and communicate this vision.
- Identify and implement elegant statistical, deep learning and representation learning solutions to detect robotic and human traffic.
- Oversee the design, development, and implementation of production level code that handles billions of ad requests and impressions. Own the full development cycle: idea, design, prototype, impact assessment, A/B testing (including interpretation of results) and production deployment.
- Collaborate with engineers, product managers and related teams in Amazon Advertising to find technical solutions to complex IVT detection problems.
- Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles.
- PhD in Computer Science, Statistics, Mathematics or related field, or equivalent professional experience.
- Prior experience with cloud computing (EMR, S3, EC2, Redshift) and big data tools (Spark, Hadoop, HDFS).
- Experience working on advertising solutions
- Demonstrated track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
- Significant peer reviewed scientific contributions in relevant field
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