Applied Scientist , Customer Targeting Data and Privacy in Bucuresti

DESCRIPTIONJob summaryAmazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable.Are you interested in automatically customizing every Amazon experience for every customer on any device? Do you enjoy corralling massive amounts of distributed data to create meaningful information? Do you think targeting should be more than just advertising? If these things appeal to you, then the Customer Targeting org is for you! We are seeking experienced software engineers to help us change the game on how the world thinks of targeted content and tackle problems that haven’t been solved yet.Customer Targeting matches content to customers across all of Amazon’s businesses and channels. Our systems operate at a massive scale and rely heavily on data aggregation, data mining, and machine learning. These techniques allow us to provide a high degree of accuracy in getting the right content to the right customer - and driving significant increases in our business objectives as a result.Customer Targeting Data and Privacy team, as part of the Customer Targeting group, drives customer engagement efficiency and trust by providing solutions for content exposure, data storage and privacy.Our flagship product, Impression Capping, makes extensive use of AWS Services and enables marketing managers to control the exposure of marketing campaigns to customers.The ideal candidate for this has excellent problem-solving skills, a solid understanding of computer science fundamentals, a customer-focused mindset, and a proven track record of on-time delivery. They are familiar with machine learning, service-oriented architectures, and distributed data and services.BASIC QUALIFICATIONS· MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field· 2+ years of hands-on experience in predictive modeling and analysis· Strong algorithm development experience· Skills with Java, C++, or other programming language, as well as with R, MATLAB, Python or similar scripting language· Advanced level of written and spoken English.PREFERRED QUALIFICATIONSThe ideal candidate will have a PhD in Mathematics, Statistics, Machine Learning, Economics, or a related quantitative field, and 3+ years of relevant work experience, including:· Significant peer reviewed scientific contributions in relevant field.· Extensive experience applying theoretical models in an applied environment.· Expertize on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametrics methods.· Strong Experience in Structured Prediction and Dimensionality Reduction.· Expert in more than one more major programming languages (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar).· Proven track record of production achievements in language, search and personalization.· Strong fundamentals in problem solving, algorithm design and complexity analysis.· Strong personal interest in learning, researching, and creating new technologies with high commercial impact.· Experience with defining organizational research and development practices in an industry setting.· Proven track in leading, mentoring and growing teams of scientists (teams of five or more scientists).· Strong communication and data presentation skills#scienceemeaAmazon Science (www.amazon.science) gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.