Operations Analytics team Microsoft's C+E Business
Are you passionate about using data to shape up the next generation of online payments experience? Are you interested in uncovering business insights from big data? Are you a professional in performing data sciences to solve real world problems? If so, then we have a unique opportunity for you. Microsoft's C+E Business Operations Analytics team is looking for a data scientist who is passionate about online commerce and is looking to contribute enabling ecommerce capabilities for all of Microsoft's consumer and business online services such as Azure, Office 365, Bing, Dynamics, Microsoft Store, XBOX, Outlook and Windows Store, to just name a few. As Microsoft's online business rapidly grows, you have a unique opportunity to work on products that impact everyone on the planet. We are an energetic, fast paced and exciting team. We analyze, optimize and implement models for a diverse range of problems for entire customers' online experience, ranging from customer purchase conversion, payment
Understand complex purchase and payment work flow in an ecommerce transaction system. Manipulate large volumes of data, create new and improved techniques and/or solutions for data collection, management and usage. Identify key metrics that determine the health of systems. Use advanced statistical methods to unravel deep insights from large amounts of transaction and usage data. Conduct experiments to gain insights into the business performance and recommend the right feature for production systems. Build predictive models to optimize business processes for a best in class customer experience.
Graduate degree in Statistics, Operations Research, Machine Learning or other related fields and a minimum of 3 years' related work experience. Proficiency in statistical, predictive modeling, machine learning with big data using tools like R, Python. Experience in database record manipulation (mainly SQL) and big data solutions. Preferred Qualifications: Proven ability and experience in using data science, statistical computing, and modeling to improve business KPIs. Strong understanding of ecommerce and payments systems. Ability to be flexible enough to jump in and act as a team-member, taking