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SalaryAre you passionate about using data, analytics, and technology to drive key business insights for Microsoft and its competitors? Are you looking for a role where you can have significant impact in contributing to the growth of some of Microsoft’s most critical businesses and keeping a pulse on the evolving competitive landscape while growing your management capabilities? If so, the Insights, Data Engineering, and Analytics (IDEAS) in the Experiences + Devices (E+D) organization has a great opportunity!
Data Scientist II- Insights, Data Engineering & Analytics (IDEAs) Compete Data Science Team
Our team plays a key role in providing data and analytics for Experiences + Devices (E+D) Group, owns the end-to-end reporting and key data assets utilized for leadership review. As a Data Scientist II in IDEAs, you would be leveraging the power of data and the skill of analysis to understand the competitive landscape Microsoft operates within.
In this role, you will have the opportunity to leverage skills in written and oral communications, tackle hard problems in innovative ways, and thrive in a team environment that values cross team collaboration and builds on the success of others.
Location: The team is primarily based in Redmond, WA. By applying to this U.S. based position, relocation does not apply/is not provided for the role.
Responsibilities
- Define, instrument and monitor key compete performance metrics and analytical data for Microsoft 365, and new/emerging products/services, along with the key corresponding competitor products.
- Deliver deep competitive business analyses to drive insights and learnings on Microsoft products success in market against key competitors.
- Perform market research and data exploration to determine the best 1st and 3rd party data solutions for measuring/analyzing both overall market share as well as specific feature areas and scenarios.
- Partner deeply with Product, Marketing, Biz Planning & Finance stakeholders to build actionable plans, data, & analysis to help address key compete business questions/scenarios and inform business strategy.
- Embody our culture and values
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, including hands-on analytics experience with proven quantitative orientation, managing structured and unstructured data.
- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ years data-science experience, including hands-on analytics experience with proven quantitative orientation, managing structured and unstructured data.
- OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related, including hands-on analytics experience with proven quantitative orientation, managing structured and unstructured data.
- OR equivalent experience.
- 1+ years experience working with large data manipulation and data mining using SQL
- 1+ years experience working with the following: Excel (advanced proficiency), PowerPoint, as well as visualization tools such as Power BI or equivalent.
Preferred/Additional Qualifications:
- Experience with Data Lake infrastructures (Cosmos, Hadoop)
- Experience with Power BI preferred
- Demonstrated problem solving, technical and data analysis skills
- Demonstrated written and verbal communication and presentation skills
- Demonstrated ability to deliver on ambiguous projects with incomplete or dirty data
- Demonstrated ability to work in a team environment that promotes collaboration
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
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. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
