Data & Applied Sciences (United States)

Data scientist

We’re creating a new data science team within Microsoft 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 devices, operating systems, and services. We provide unique insight into business and customer scenarios that cut across organizational boundaries and are leading the growth of a data-driven culture within Microsoft.

The team is growing rapidly and we are interested in people with diverse multi-disciplinary backgrounds, engineering and analytical skills, ruthless curiosity, and the motivation to improve product quality with data. If you consistently use data to improve the world around you and have the energy and flexibility to help us build a world class team, come join us to change the world of computing.

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 also 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 to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.

Qualifications

• A bachelor’s, master’s, or doctorate in computer science, statistics, mathematics, economics, or other quant-focused field (pursuing with at least one semester/quarter remaining after internship).
• Engineering experience 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#.
• Experience performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
• Experience with product and service telemetry systems.
• Passion to learn how to be an excellent Data scientist from your peers, manager, and other stakeholders.
• Ability to interact with peers and stakeholders to drive product and business impact.
• Strong interpersonal and communications skills