Skype is a beloved brand used by hundreds of millions of users in the consumer and enterprise markets. Skype uses extensive telemetry and user feedback to help improve the product and user experience.
Currently, we are seeking a highly capable Principal Data Scientist who is passionate about data analysis and driven to make Skype and the best experience possible. As a Principal Data Scientist, you will use your strong technical skills (Python, R, Matlab) and experience of analyzing large, complex data sets to help solve a number of technically challenging problems. This is an excellent opportunity to work with an exceptional team where you will be encouraged to continuously learn and bring your ideas forward.
What will you do:
Conduct analysis and modeling in the area of call quality, reliability and user experience
Perform exploratory data analysis and build predictive models that fit call quality and reliability metrics
Lead the definition and development of metrics and tools for measuring call quality and reliability
Determine key factors that will improve call quality and reliability, and help drive these into the product; Become a technical lead for data science areas within Skype
Effectively collaborate within Skype and other related Microsoft divisions to drive call quality and reliability initiatives
Drive independent and group investigations resulting in shipping product code and patents
A good candidate has:
Ph.D. or MS degree in Computer Science, Applied Mathematics, or related field
Deep experience in data science, machine learning, statistics
Minimum of 8 years of industry experience
Experience with data mining tools such as R, Python, Matlab, or SAS
Solid written and oral communication skills (English is a must, other languages a plus)
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
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