Amazon Sr Applied Scientist Amazon Publisher Services Ads 

United States, Texas, Austin 

127548873

As a Senior Applied Scientist on the team, you will pioneer Signal impact measurement solutions, and traffic optimization solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide actionable insights to our publisher customers to improve their yield, while also helping package traffic to improve spend from our top Third party buyers. You will provide integration insights between publisher and vendor connections, and publisher to buyer connections and automate anomaly detection and alarms. You'll educate the business teams (SPMs, Product) on detection and prevention techniques to maintain ad-spend.
Key job responsibilities- Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
- Lead the decomposition of problems and development of roadmaps to execute on it.
- Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.