Microsoft Corporation Data & Applied Scientist in Bellevue, Washington

Online Advertising is one of the fastest growing businesses on the Internet today -- serving billions of ad impressions per day and generating terabytes of user events data every day. The rapid growth of online advertising has created enormous opportunities as well as technical challenges that demand computational intelligence.

The Bing Ads Relevance team is at the center stage of this exciting new interdisciplinary field that involves natural language understanding, machine learning, data mining, and statistics, to solve challenging problems that arise in online advertising. The central problem of computational advertising is to select an optimized slate of relevant ads for a user to maximize a total utility function that captures the expected revenue, user experience and return on investment for advertisers. We are a world-class R&D team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn innovative ideas into high-quality products and services that can help hundreds of millions of users and advertisers, and directly impact our business.

Responsibilities

Job responsibilities include:

  • Building and owning production machine learning models to predict ads relevance.

  • Finding insights and forming hypothesis in the web-scale data with various machine learning, statistical, and data mining techniques: e.g. regression, classification, optimization, p-values analysis.

  • Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.

  • Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages welcome, especially R, Python, SQL, Java, and C#.

  • Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.

Qualifications

  • A graduate degree in computer science or a quantitative domain plus hands-on software engineering and data science experience.

  • 3+ year experience delivering, scaling, and owning highly successful and innovative machine learning products with your fingerprints all over them. In particular, experience with deep learning models (DNN, RNN, LSTM) and frameworks (TensorFlow, Theano, Keras, etc.) will be very helpful.

  • Excellent verbal, visual and written communication skills.

  • A willingness to learn, share, and improve.

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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form at https://careers.microsoft.com/us/en/accommodationrequest .

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