Data & Applied Scientist 2

Office 365 continues to lead the cloud transformation for Microsoft and has become the locomotive for services across the Company. With hundreds of thousands of customers and hundreds of million users already on the service, Office 365 is leading the future of services. Customers and Partners are betting on the cloud and expecting Office 365 to deliver an unparalleled experience on the service. Our customers deserve and expect high satisfaction from the service and Office 365 is taking bold steps to deliver to this standard. Office 365 is leading the transformation and redefinition of how we help customers on the service. Our mission is to distinguish O365 support as a cloud-first support model that is optimized for customer experience and based on a culture of satisfaction.
The ML engineers from the AI and Business Intelligence (BI) team explore the big data from Office 365 operation and support in search of consistent patterns and systematic relationships (connect the dots) across all data sources involved. The goal of this team is to predict trends, find insides and produce actionable, trustworthy recommendations and decisions for Office 365 operation and Tenant Value Guidance, which is curried on through an analytical modelling process based on machine learning by processing structured, semi-structed and unstructured data.ResponsibilitiesIn terms of business accountability this role is expected to directly contribute to the operation optimization of Office 365 operation and Tenant Value Guidance through delivering predictive models and inside discovery, building machine learning driven automated data processes (such as pre-processing, feature extractions), natural language processing (NLP) related tasks, as well.QualificationsRequired Qualifications:

• 5-7+ years (including MS program or PhD program) of experience working with large data sets or doing large scale quantitative analysis and predictive moldering work
• Master's degree, or PhD degree in Computer Science or equivalent
• Experience processing large data sets through statistical software (ex. R, SAS) and program language (ex, Python), or other methods. Strong algorithmic problem-solving skills
• Fundamental understanding of statistics, transformer modelling, regression, classification, and optimization is a core requirement
• Experience with A/B testing
• Experience working with SQL, Spark, TensorFlow, Pytorch

Preferred Qualifications:

• Experience working in various NLP tasks

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 .
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