Data Scientist 2

The Microsoft 365 team is looking for a Data Scientist 2 to help design and build one of the fastest growing cloud services in Microsoft. Do you want to design and develop new components that solve complex distributed systems and search optimization problems? Do you want to work on a product that ships new features every week? If the answer to these questions is yes, then t he Microsoft 365 Storage Fabric team has an opportunity for you get in on designing and building a core part of the stack. We develop software from the ground-up, running across thousands of servers with oceans of data . We build and operate the largest enterprise cloud productivity system in the world. Across products such as Exchange, Teams, and SharePoint, we power communication, sharing, search, intelligent assistance for customers, extensibility through Microsoft Graph, and more. Throughout we maintain very high reliability and availability, privacy and compliance for customers, and latency in milliseconds. We apply a combination of approaches from the fields of API design, Machine Learning, Distributed Computing, Workflow engines, Algorithm Optimization, and many more. Come to define, design, and deliver what enterprise cloud productivity means.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications:
Required/Minimum Qualifications:

  • Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

o OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience

o OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

o OR equivalent experience.

Preferred Qualifications:

  • Growth Mindset with a desire to learn, a tendency to embrace challenges, persist in the face of setback, see failures as essential to mastery, learn from criticism and find lessons and inspiration in the success of others.
  • Help to create a diverse and inclusive culture where everyone can bring their full and authentic self, where all voices are heard, and where we do our best work as a result.
  • Confident and articulate in expressing ideas to a mixed audience with varying views and challenges.
  • A sense of personal ownership and accountability , together with the ability to develop and deliver to deadlines while managing internal stakeholder expectations.
  • Self-motivated with a drive for reaching across teams and organizations to make progress collaboratively.
  • Ability to communicate technical details clearly.
  • Experience in DevOps to maintain live services andor application frameworks.
  • Cloud and services experience, with Azure cloud experience highly desirable.
  • Passion for building reliable and well-tested systems .
  • Experience with or exposure to Agile and iterative development processes.

Data Science IC3 – The typical base pay range for this role across the U.S. is USD $94,300 – $182,600 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 $120,900 – $198,600 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.

Responsibilities:

  • Define, own, and refine product success metrics.
  • Use business knowledge and technical expertise to identify business opportunities.
  • Create systems detecting anomaly in the product and usage to unlock opportunities or improve user experience.
  • Create and manage data pipelines to funnel product te lemetry .
  • Contribute to the design of large-scale distributed software services and solutions.
  • Write clean, well-tested code .
  • Promote knowledge sharing and contribute to onboarding documentation for new engineers /data scientists .
Job Category
Data and Analytics
Job Type
Full Time/Permanent
Salary
USD 198,600.00 per year
Country
United States
City
Redmond
Career Level
unspecified
Company
Microsoft
JOB SOURCE
https://jobs.careers.microsoft.com/global/en/job/1617533/