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    Senior Applied Scientist - Cambridge, MA, United States - Microsoft

    Microsoft background
    Description


    We're a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day.

    Does this sound like you? Learn more about our cultural attributes.

    Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today Come build community, explore your passions and do your best work at Microsoft with thousands of people from every corner of the world.

    As a Senior 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 QualificationsBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.

    Preferred QualificationsBachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)OR equivalent experience.

    Applied Sciences IC- The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.

    Applied Sciences IC- The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 per year.

    Certain roles may be eligible for benefits and other compensation.

    Find additional benefits and pay information here:
    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.#researchYou will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques.

    You'll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

    You will review business requirements and incorporate research to meet business goals.

    You'll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

    You will participate in onboarding of team members and assist in developing academics to be members of multidiscipline teams. You'll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.
    You will document work in progress and experimentation results, and share findings to promote innovation.

    You'll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.

    Employment typeFull-TimeWork siteUp to 50% work from homeRole typeIndividual ContributorDisciplineApplied SciencesProfessionResearch, Applied, & Data Sciences


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