Senior Applied Scientist, AWS Billing

• AWS Billing requires a Scientist with a proven track record in time-series based anomaly detection. During the billing process there are many unknown-unknowns and detecting these are vital for ensuring an accurate bill.
• Key job responsibilities
• About the team
• We are a small science team that work on high-impact projects in AWS Billing. Our work is foundational for Billing's accuracy goals. We publish our results in top conferences and play an active role in academia.
• 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.
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

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