Principal Data Scientist at Microsoft

Principal Data Scientist Details

April 9, 2019, 5:28 p.m.
Individual Contributor
Bellevue, WA
Skype, Teams, Photos,
What if your job description were simply " Accelerating I nnovation through T rustworthy E xperimentation . " That's the essence of roles within our team. Are you a data scientist who has a strong appreciation for trustworthiness of results , insatiable curiosity, and ability to challenge yourself and drive a cultural change towards data driven decision making in multi-billion dollar businesses? Do you want to be involved in data-driven controlled experiments t hat regularly generate returns in the millions of dollars annually, sometimes over $100m ? We are looking for experienced data scientists who know how to solve complex big data problems, work with statistics and algorithms, analyze big data and can run controlled experiments. You can be involved in experiments in a wide range of heavily used products from Bing to Office clients to Office services, Skype, Teams, Photos, MSN, Xbox, Windows, and more.   We are the Analysis and Experimentation Team (A and E) at Microsoft and part of

Apply your expertise in quantitative analysis, data mining, and the presentation of data to develop experiments and provide algorithmic problem-solving solutions. Build data manipulation, processing, and data visualization tools and share these tools and your knowledge across the team, C and I , and Microsoft. Handle large amounts of data using various tools, including your own. We prefer knowledge of Python , Java, C++ or C# as well as Hadoop, Hive, Pig, Spark but are open to all languages. Ensure high-quality data and understand how that data which is generated out experimental design can produce
Bachelor's or Master's degree in a quantitative field, and at least 5 years of relevant work experience. PhD preferred. Strong programming skills - We are programming-language agnostic so welcome all languages but prefer Java, C++, C# with tools such as Hadoop, Spark, Pig or Hive in your background. Scripting knowledge in Python, R, MATLAB, Perl, SQL or similar languages. Strong algorithmic problem-solving skills. Applied statistics and mathematics skills: p-values, confidence intervals, regression, classification, and optimization are core lingo. Superior verbal, visual and written communication
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