11 days old
2017-12-042018-01-03

Data Scientist Lead

Redmond, Washington
  • Job Type
    Employee
  • Job Status
    Full Time
  • Shift
    1st Shift

Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity software in the planet? Office Experience Organization (core client team for Word, Excel and PowerPoint) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. The Growth team in OXO is looking for an experienced person with a passion for leading a strong team of data scientists to develop, evaluate, and operationalize new models to enable subscription growth and aid product development.

 The Lead and his or her team would leverage telemetry and experimentation to build metrics and user experience models, develop best in class monitoring and alerting methods to detect anomalies in product quality and partner with wide range of engineers, program managers and researchers to deliver solutions that help turn the overall business metrics. Ideal candidates should be able to own one or more areas of opportunities and identify business or engineering problems, dig out sources of data, conduct the analysis that would reveal useful insights, and eventually help engineering teams to operationalize the solution.

 

Core Skills:

  • Keen aptitude in subscription driven business and customer needs.
  • Scope out large quantitative projects and understand how to resource them either through delegation or individual contribution.   
  • Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data.
  • Transforms formulated problems into implementation plans for experiments by applying (and creating when necessary) the appropriate methods, algorithms, and tools, and statistically validating the results against biases and errors.
  • Uses broad knowledge of innovative methods, algorithms, and tools from within Microsoft and from the scientific literature and applies his or her own analysis of scalability and applicability to the formulated problem.
  • Ability to interpret data and communicate in a clear and lucid way to a wide variety of audience.
  • Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.

 

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. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to askstaff@microsoft.com.

Requirements

  • B.S. and/or M.S. (Ph.D. Preferred) in Computer Science, Statistics, Operations Research or similar quantitative field
  • 7 years plus experience of applying statistical modeling, ML and data mining algorithms to real world problems.
  • At least 2 years of leading and project managing data science projects.
  • At least 2 years of managing and growing data scientists.
  • Expert in one or more statistical software like R, SAS or Statistica etc.
  • Expert in one or more scripting languages like Scope, Perl, Python, or SQL
  • Solid foundation of statistical modeling and machine learning algorithms and experimental design
  • Deep understanding of big data systems including map reduce technologies like Hadoop and Spark

Categories

  • Data Scientist

Industry

  • Information Technology

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Microsoft
Redmond, Washington

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