Do you want to be on the leading edge of using big data and help drive development decisions for the biggest productivity software on the planet? Office Experience Organization (office core apps like Word, Excel, PowerPoint, Planner, Forms and more) has embarked on a mission to delight our customers by using data driven engineering to develop compelling products and services. Office is looking for an experienced person with a passion for leading a world class team of data scientists to develop, evaluate and operationalize scientific methods to increase engagement and growth of a suite of applications.  

The Lead and his team would leverage telemetry and experimentation to build metrics and user experience models; understand and grow user productivity through document collaboration and usage of AI features; develop best-in-class statistical and econometric methods for decision making and partner with wide range of engineers; program managers and researchers to deliver solutions that help move the KPIs. 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.

Responsibilities

Core Skills: 

• Keen aptitude of business drivers and customer needs in an application development environment. Experience in networks, graphs, and social media analysis a plus.  
• 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. 

Qualifications

Requirements: 

• At least 5 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, or Python.
• Expert in one or more scripting languages like Scope, Perl, Scala or SQL
• Solid foundation of statistical modeling and machine learning algorithms and experimental design and A|B testing.
• Deep understanding of big data systems including map reduce technologies like Hadoop and Spark
• BS. and/or M.S. (Ph.D. Preferred) in Computer Science, Statistics, Operations Research, or similar quantitative field

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.