Applied Scientist

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As a Applied Scientist at Microsoft, you will conduct applied research and lead collaborations that yield innovative solutions, practical data, algorithms, and prototypes that advance the state-of-the-art in applied sciences and engineering, as well as contribute to the resolution of tangible industry challenges. This opportunity will enable you to define research objectives in a specific area of application and initiate the design, development, execution, and implementation of a research agenda to bridge academic knowledge with industry needs. You will provide expertise to product or business groups and may create long-term business opportunities through research outcomes, focusing on delivering immediate product enhancements and demonstrating a clear path to market application.

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.

Required Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
• OR equivalent experience.

Preferred Qualifications

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical

• OR Computer Engineering,

• OR related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)

• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical

• OR Computer Engineering,

• OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical

• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).

Applied Sciences 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 will accept applications and processes offers for these roles on an ongoing basis.

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.

#research

• You will gain expertise in one or more subareas of research and understand applicable research techniques. You'll also gain deep knowledge of a service, platform, or domain, and become familiar with the latest industry trends and applied technologies.

• You will apply strategies provided by team members and incorporate state-of-the-art research. You'll also develop an understanding of methods used in the community and gain expertise in a deeply specialized area.

• As you reinforce a positive environment by applying best practices, you will also support mentorship and assist with the onboarding of entry-level team members. Additionally, you will maintain ties with an external network of peers and identify prospective talent, when asked.

• You will document work in progress and share findings to promote innovation within a group. You'll also learn and follow ethics and privacy policies while executing research processes or collecting information.