Data Scientists at Microsoft help to improve the quality of experiences on our devices and services. We are looking for highly motivated and passionate Data Scientists to apply rigorous scientific methodology and algorithms to data in order to improve Microsoft's devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture within Microsoft. • Do you want to work on a meaningful and impactful project and make a difference? • Are you willing to learn from others and open to new ideas? • Do you want to support others to succeed and operate in a highly-collaborative and global environment? • If this sounds like you, Microsoft would like to invite you to come join us as you are, where you can find more than just a job. Read on to learn more about opportunities and apply online! To be considered as a student or recent graduate, you should
As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. You will engage with peer stakeholders
• A bachelor's or master's in Computer Science, Mathematics, Economics, Statistics, Applied Sciences like Biostatistics, Physics, Chemistry, Computational Neurology and or other quant-focused field (within 12 months of graduation). • Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc. • Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#. • Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS