and Experimentation Team Experimentation Team, are
We, the Analysis and Experimentation Team, are aiming to build a world-class A/B experimentation platform that enables statistical testing new ideas quickly and reliably and then measuring the results of those experiments. Many of our success stories can be read here: http://exp-platform.com/ In addition to understanding some of Microsoft's largest projects, we work to produce metrics to measure results of experiments. In a world which is constantly using more and more data to make decisions, it becomes increasingly more important to understand how to make decisions with the data. What factors affect the quality of the Bing user experience? What causes users to make a first payment with XBox? How do outlook.com users interact with email marked as spam? Keys to a successful online business is to innovate at fast pace using controlled experiments with live users and understanding how to make decisions with that data. We constantly push the limits of in-house, Azure, Cosmos (USQL) and open
Building a set of microservices with good APIs, decoupled architecture, scale, reliability and 3 rd party readiness. Development of large scale and highly efficient metadata driven metrics related to metric management, A/B experimentation, query generation and job execution. Optimize data mining pipelines by designing caches, updating calculations in different big data compute clusters, such as USQL, Hadoop, Spark and internal offerings. Working closely with program management and data scientists for defining goals, understanding requirements.
Qualifications: Expert coding skills in one of the following languages: C++, Java, C# (3+ years) Bachelor's in computer science or a related field Preferred Qualifications: Strong design, problem solving and drive to success, with a strong bias for engineering excellence at scale with a track record of shipping multiple releases Extensive experience in cloud - Azure, AWS, etc – services and architectures either as a user of the services or an implementer (3+ years) Experience in statistical data analysis at web-scale Familiarity with data analysis tools, machine learning, and statistical packages,