Microsoft 365 is the fastest growing cloud services business in Microsoft. M365 brings together cloud versions of our most trusted communications and collaboration products like Exchange, SharePoint, OneDrive and Skype with the desktop suite of Office products in an always up-to-date integrated service offering. Since its launch, the service has made it easier for millions of information workers across the world in small, medium, and large enterprises to use the best of Microsoft’s business productivity solutions via the cloud. The service now extends the same capability to consumer communication and collaboration products.
Do you see yourself as a coach, a collaborator, and a customer-focused engineer? Would you be excited to build technology that helps deliver productivity and communication services to hundreds of millions of customers? Do you care deeply about fostering a great team? We are looking for a Principal Data Scientist Manager for the M365 Core who embraces these roles and is excited by this technology, and who embraces the cultural values of inclusion and belonging and feels empowered to do the following:
Coach – Work with each person on your team to help them to do their best work and grow. You define and foster an identity for the team that includes a reputation for high quality, reliability, and inclusivity.
Guide – Define the business goals for the team then create and execute on a plan to meet those goals. You will build a vision for changing the underlying technology of the service and guide the team through landing it while maintaining the availability of the live site.
Collaborate – Strive to understand the motivations and goals of the teams we’re working with and work towards a better solution together.
Engineer – Care deeply about the availability, resilience, latency, scalability and cost of the critical 5-9s service we are running. You are excited about making major changes to the service while maintaining availability and latency
Qualifications:
Required/Minimum Qualifications
- Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years people-management experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Additional or Preferred Qualifications
Data Science M6 – The typical base pay range for this role across the U.S. is USD $158,500 – $276,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $202,800 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
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.
#M365
Responsibilities:
As a Principal Data Scientist Manager,
- You’ll be working with researchers, PMs and other product engineering teams, and managing a team of combining remote Data Scientists/data engineers, local Data Scientists/Data engineers to vision, design, develop and apply state-of-the-art methods/models within AI and machine learning to solve complex problems in efficiency, health and experience areas.
- Provide hands-on technical leadership: design, analytics/modeling, code reviews, development, quality assurance, observability, and live site. Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources.
- Build relationships with partners within Microsoft to bring innovation to new and existing products. Act as an AI expert and thought leader, including the creation of vision/strategy, white papers, conference papers, blogs etc, and including presenting at conference, internal/external AI meetings etc.
- Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
- Hire and retain top talent. Be a mentor for the people on your team and help them grow.