Data Scientist

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 (OXO) 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 Data Scientist with a passion for experimentation, anomaly detection, and machine learning models to understand user behavior and preferences.

The Data Scientist 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 and program managers to deliver solutions that help turn the overall business metrics. Ideal candidates should be able to identify a business or engineering problem and translate it to a data science problem, dig out sources of data, conduct the analysis that would reveal useful insights, and also help engineering teams to operationalize the solution.


Core Skills:

- Identifies data sources, integrates multiple sources or types of data, and applies expertise within a data source in order to develop methods to compensate for limitations and extend the applicability of the data.

- Applies (or develops if necessary) tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis.

- 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.

- Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.

- Acquires and 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.

- Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results.


Preferred Requirements:

- Expert in one or more statistical software(s) like R, SAS or Statistica etc.

- Expert in one or more scripting languages like 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


Minimum Requirements:

- B.S. and/or M.S. (Ph.D. Preferred) in Computer Science, Statistics, Operations Research or similar quantitative field

- 3 years plus experience of applying statistical modeling, ML and data mining algorithms to real world problems.


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.