Senior DATA SCIENTIST, Cloud and Enterprise Engineering on the Windows Azure product in Lincoln Plaza, WA

CategoryData Analytics
LocationLincoln Plaza, WA
DivisionCloud and Enterprise Engineering
ProductWindows Azure
Date AddedDecember 5, 2014
Open Positions1

The Microsoft Cloud and Enterprise Division is off to a great start since launch and is fast gaining momentum. The Azure Compute team designs and builds the software infrastructure that powers more than 100,000 servers across datacenters around the globe and provides core infrastructure services for a variety of online applications. There is a lot of excitement about Azure and we need additional strong talents in Azure Compute to drive our services to next level of success.

We are building the next generation highly scalable and fully automated infrastructure. We focus on utilizing the resources most efficiently in the data center, easing development and deployment of services, simplifying the monitoring, debugging, and troubleshooting of services, and optimizing reliability and performance. For example, autopilot dynamically allocates computing resources, automatically detects failures, repairs and recovers erroneous applications, manages the application deployment, and updates application data safely, quickly, and frequently. Azure Compute can schedule where to run application services and decides how many computing machines needed at a given time and given load. It furthermore provides foundational services such as messaging, queuing, storage, and caching services to enable rich application services.
We are looking for an enthusiastic data scientist to work on Azure Compute system to help advance the state of the art in data-driven engineering practice. The data scientist will partner with engineers on utilizing data mining and machine learning techniques to solve the hard problems in improving Azure compute service scalability, reliability, and performance, devops productivity, and customer satisfaction.

Focus areas in this charter include big data, analytics, machine learning, data exploration and visualization, simulation, instrumentation and service optimization.

This is a fun and fast paced environment, where the team has high desire to embrace data-driven methodologies and techniques. This is a great opportunity to work on something highly strategic to Microsoft.

5+ years of experience working on and analyzing big data
Expertise in data mining or machine learning
Strong problem solving and debugging skills
Proficiency in C/C++, C# or Java programming
MS./PH.D in Applied Math or Computer Science preferred or equivalent years of experience with BS in Computer Science
Expertise in data visualization and presentation
Experience in related areas such as Cosmos/Scope, Hadoop/MapReduce will be a plus
Excellent communication and cross-team skills

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.
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