Job Description: If you are you seeking an environment where you can drive innovation, collaborate in a team of +30 researchers, applied and data scientists, move marketing science to the edge of the industry to make sure our customers receive the advertising they vote for: keep reading. Job Responsibilities: Support engineering teams to build tools and applications on our unique big data platform to efficiently generate and deploy insights into decision-making systems at Amazon Design and build scalable analytic solutions using statistical models to measure the business impact of cross channel marketing spend Work closely with both business units and engineering teams to formulate measurement problems and associated technical solution strategies Develop a library of measurement, decision making and machine learning algorithms to enable data-driven decision making Qualification & Experience: PhD or equivalent Master's degree plus 4+ years of research experience in a quantitative field Comprehensive and deep knowledge of a relevant field of research, such as machine learning Experience presenting data-focused research to upper management Experience using Python and/or R is required Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Deep expertise in using multivariate regression techniques and neural network Ability to research, identify, evaluate, and implement modeling solutions for complex business problems Hands-on experience using Big Data Technologies PhD in Machine Learning, Mathematics, Economics, Engineering or Related Fields Advanced proficiency with statistical modeling, experimental design, and machine learning algorithms Job Details: Company: Amazon Vacancy Type: Full Time Job Location: Sunnyvale, CA, US Application Deadline: N/A Apply Here getyourvacancy.com
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