Job Description

Are you someone with a passion for data, analytics, insights, and technology? Do you want to work on one of the largest data science teams at Microsoft, lighting up actionable insights that drive key business decisions for the entire Microsoft 365 organization?

The Insights, Data Engineering & Analytics team (IDEAs), is a central data science team for Microsoft365 engineering and marketing. The IDEAs Commercial Managed Data Science team is looking for a passionate, creative, analytical, and experienced data scientist who loves big data, is curious to explore, and who wants to impact business decisions.

Our team plays a key role in providing data and analytics for Microsoft 365 and owns the end-to-end decision sciences charter that includes:

* Bringing relevant data into a central system to create the single version of truth
* Opportunity analysis and hypothesis generation for stages throughout the end-to-end customer lifecycle
* Building advanced analytical models (behavior segmentation, churn prediction, purchase propensity, etc.) that spans engineering, marketing, and finance.
* Developing models that power recommendations to end users, admins, and partners.

To be successful in this role you must be driven, self-directed, entrepreneurial, and focused on delivering the right results. You also need to have strong skills in written and oral communication, a can-do attitude, and the willingness to tackle hard problems in innovative ways. You must also thrive in a team environment that values cross team collaboration and building on the success of others.

* Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models
* Work with data engineers to architect and develop operational models that run at scale
* Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis
* Communicate with technical and non-technical audiences, and contribute modeling expertise as a team player
* Bachelor's, Master's or PhD degree in Statistics/Economics/Math/Computer Science or related field
* Experience in SQL, R, Python to implement statistical models, machine learning, and analysis (Recommenders, Prediction, Classification, Clustering, etc.) in big data environment
* Experience on large scale computing systems like COSMOS, Hadoop, MapReduce and/or similar systems preferred
* Experience with programming skills, e.g. Java, C is a plus
* Familiarity with deep learning toolkits, e.g. CNTK, TensorFlow, etc. is a plus
* Exceptional written and verbal communication to educate and work with cross functional teams
* Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data

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.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.