Research Science Manager, Ads Traffic Quality, Traffic Quality ML

Amazon Ads is looking for a Research Science Manager with machine learning and deep learning background to build industry-leading technology for preventing ad fraud at scale.


Key job responsibilities
Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US EU and an increasing number of international geographies. One of the key focus areas is Traffic Quality where we endeavor to identify non-human and invalid traffic within programmatic ad sources and weed them out to ensure a high quality advertising marketplace. We do this by building machine learning and optimization algorithms that operate at scale and leverage nuanced features about user context and creative engagement to determine the validity of traffic. The challenge is to stay one step ahead by investing in deep analytics and developing new algorithms that address emergent attack vectors in a structured and scalable fashion. We are committed to building a long-term traffic quality solution that encompasses all Amazon advertising channels and provides state-of-the-art traffic filtering that preserves advertiser trust and saves them hundreds of millions of dollars of wasted spend.

We are looking for a dynamic innovative and accomplished research science manager to lead machine learning and data science for the Advertising Traffic Quality vertical. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company As an research science manager for Traffic Quality you will lead a team of applied scientists research scientists data scientists and engineers to deliver to conceptualize and build algorithms that efficiently detect and filter invalid traffic. You will be the single-threaded owner of the algorithms that go into our traffic quality systems and will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning statistics and analytics that are working on state-of-the-art modeling techniques as well as generating insights that fuel critical investments. You will also lead an engineering team that works on handling terabyte scale data and implementing features and algorithms that process billions of events per day. You will interface with product managers and operations teams to bring key advertising initiatives to customers. Your strong management skills will be utilized to help deliver critical projects that cut across organization structures and meet key business goals.

Major responsibilities
Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic
Use machine learning and statistical techniques to create new scalable solutions for invalid traffic filtering
Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Hire and develop top talent in machine learning and data science and accelerate the pace of innovation in the group
Build a culture of innovation and long-term thinking and showcase this via peer-reviewed publications and whitepapers
Work with your engineering team and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production
Keep updated on the industry landscape in Traffic Quality and identify algorithm investments to achieve an industry leading traffic quality solution.
Learn continuously about new developments in machine learning and AI as well as recent innovations in creative intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising


* A MS in CS focused on Machine Learning Statistics Operational research or in a highly quantitative field
* 5 years of hands-on experience in big data machine learning and predictive modeling
* 3 year people management and cross department functional experience
* Knowledge of a statistical analysis package such as R Tableau and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building
* Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers analysts and business management in achieving superior bottom line results
* Strong communication and data presentation skills
* Strong ability in problem solving and driving for results

* Technical leader with 10 years of exceptional hands-on experience in machine learning in e-commerce fraud/risk assessment or an enterprise software company building and providing analytics or risk management services and software.
* Ph.D. degree in in Statistics CS Machine Learning Operations Research or in a highly quantitative field.
* Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib Tensorflow MxNet etc.
* Strong publication record in international conferences on machine learning and artificial intelligence

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