Cloud Computing is the one of the most important initiatives for Microsoft. It is a highly competitive and rapidly growing market and we aim to win it. The Azure Compute Analytics and Insights team is a growing Agile team tasked with turning our incredibly rich and Big data into strategic assets that will drive business and engineering goals and efforts. As a member of our team, you will turn this data into actionable insights that will drive feature improvements to the Azure Compute Service and its customers. Our vision is to be have a balanced team of data science and development skills. If you dream of being able to use data science/applied statistical techniques like: anomaly detection, machine learning, expert systems and/or experimentation, then you should talk to us. If you have the drive to help to implement it and see it productized, then you really should talk to us. We are not one of those teams that just builds reports with brilliant insights that no one uses. We are here to
Design new tools and processes to enable better data modeling, analysis, and experimentation Employ machine learning to detect and correlate problems Build models, simulation, scalable and automated analytical systems Drive improvements to the product design and architecture, leading to increased customer satisfaction Lead and collaborate with experts from across the company to advance data science best practices Educate and train others on modern applications of data science techniques Learn how to build and sustain engagement from all levels of an organization
Experience with NLP and the handling of unstructured text Programming skills (esp. related to data technologies like Python, PERL, Java, C#, etc.) 3 or more years of experience using data/ML/AI to impact critical product or business decisions A proven track record of collaborating across organizational boundaries and delivering great results Familiarity with software development, database design, and online service development A Masters or higher degree in computer science, machine learning, statistics, math, economics, business or other scientific or quant-focused field.