Software Engineer 2 at Microsoft

Software Engineer 2 Details

May 2, 2019, 4:37 p.m.
Individual Contributor
Redmond, WA
Microsoft. We've gone
It's an exciting time to be working on Windows at Microsoft. We've gone from a release every 3 years with Windows 7 to a 2 releases of Windows 10 last year. We are driving excitement in the technology market via Surface, Xbox, HoloLens and other innovations. Windows has transformed from a boxed product that came with your PC to an always up-to-date operating system that powers all Microsoft devices and enables a diverse ecosystem of 3rd party PCs, laptops, tablets, AR/MR devices, game consoles and more. As the Compatibility team, we ensure applications and devices you use daily continue to work seamlessly even as we change and improve the underlying OS at ever faster rates. We are at the center of shipping new Windows versions to every capable device in the ecosystem, and our team is integral to successfully shipping new Windows releases on new devices. If improving the experience for hundreds of millions of users excites you, if you have the passion for using data to transform understanding

In this role, you'll be using insights from data to assess and improve the quality of user experiences on Windows, and to drive efficiencies in how we release Windows to millions of customers worldwide. We combine data science and data engineering work with business knowledge to provide unique insights into customer scenarios and drive decision making based on these insights. You'll help drive our transformation from being reliant on lab based testing to becoming service and data driven by leveraging the latest technology that data science has to offer. You'll build features and technologies to
Required qualifications: 3 + years of software development experience and shipping products 1+ years experience with data analysis, statistical methodologies, text analysis, machine learning, and other areas of data science 2+ years engineering experience using large data systems on SQL, Hadoop, Spark, etc. Preferred qualifications: Familiarity with data analysis tools and languages like R, Python, or similar Proficiency using one or more programming languages like C# Experience with product and service telemetry systems Ability to interact with peers and stakeholders to drive product and business
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