Email and calendar are the cornerstone of getting things done in your own life or when you are working with others. Outlook has undergone a huge shift in the past year – we’re focused on delivering Outlook on all platforms (Windows, Mac, iOS, Android, and Web) and services (Office 365, Exchange, Outlook.com, Gmail, and Yahoo). Outlook is the attention center for productivity and has the highest engagement of all Microsoft products.
The Outlook Data Science team is looking for a data scientist that has management experience to lead a team of data scientists with broad expertise in machine learning, statistics, experimentation, and advanced analytics.
Lead and grow the data science team
Develop the tools to best drive insights across the breadth of the Outlook of products through both aggregate and real-time data streams.
Drive a deep understanding of user behaviors across all products and services to empower product managers, designers, and marketers to better target our customers.
Explore and build new tools to model, test, and drive innovation across our business and customer experiences.
Champion the use of Data Science practices across all aspects of our product and service portfolio and across our business engagements.
Help further drive our culture of Learning through building fostering exploration and discovery
Lead a team of data scientists to design, prototype, implement and test descriptive and predictive analytics models
Providing insight to senior management to support strategic decision-making, preparing and delivering insights and recommendations based on analyses
Architect and develop operational models that run at scale thru partnership with data engineering teams
Partner with cross-functional teams to identify and explore opportunities for the application of machine learning and predictive analysis
Communicates well with technical and non-technical audiences and contributing modeling expertise as a thought leader.
Have a minimum of 10 years of relevant work experience in data-analysis related roles.
Are able to break down complex business and technical problems into opportunities for analytical study.
Have extensive knowledge and experience in data science including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer intelligence, data modeling, databases, data warehousing, bioinformatics, information theory, or a similar field.
Are inherently curious, energized by large challenges, and interested in making a significant impact on a globally scaled business.
10+ years’ experience in a Data Science or Data Analytics role
5+ years of People Management experience
Master’s degree or higher required; emphasis in Computer science, Data Science, Statistics, Physics, Computational Biology or Bioinformatics strongly preferred.
Experience using at least one of the following technologies: R, Python, RapidMiner, SAS, SPSS, KNIME
Have hands-on experience with graph modelling and computational network models.
Demonstrate strong communications and presentation skills, and the ability to work across teams, executives, and subject matter experts to drive results.
Are a tenacious problem solver that is comfortable with ambiguity.
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.