Company Name:-
Amazon.com Services LLC

Job Location:-
Santa Monica, CA

Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionPhD or equivalent Master’s degree plus 4+ years of research experience in a quantitative field
Experience investigating the feasibility of applying scientific principals and concepts to business problems and products

Amazon is investing heavily in building a customer centric, world class advertising business across its many unique audio, video, and display surfaces.

In this role, you will be on the cutting edge of developing monetization solutions for Live TV, Connected TV and streaming Audio.

These are nascent, high growth areas, where advertising monetization is an important, fully integrated part of the core strategy for each business.

As a Research Scientist, you will be tasked with leading scientific innovations in measurement and optimization for that enable us to deliver relevant and performant advertising experiences to customers.

As a trusted science leader you will be given some of the most difficult science and business intelligence problems to solve.

You will need to invent elegant metrics and associated measurement models, and develop algorithms that help advertisers test and learn the impact of advertising strategies across channels on these metrics while ensuring a great customer experience.

You’ll be expected to:Design measurement models and algorithms for optimizing advertising reach, frequency and return on advertising spend
Build systems and algorithms that extract and process volumes of disparate data using a variety of econometric and machine learning approaches.

These systems should be designed to scale with exponential growth in data and run continuously.

Leverage knowledge of advanced software system and algorithm development to build our measurement and optimization engine.

Contribute intellectual property through patent generation.

Functionally decompose complex problems into simple, straight-forward solutions.

Understand system inter-dependencies and limitations as well as analytic inter-dependencies to build efficient solutions.

Proven track record of leading the delivery of large-scale, high-quality systems
Experience using at least one of Python, Java, Scala, Spark is required
Experience working in a complex, service oriented softwa

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