Job Description

Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software in the planet? Office Experience Organization (OXO) has embarked on a mission to delight our customers by using data informed engineering to develop compelling products and services. The FUEL team in OXO is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data Scientist.



We're the ones obsessing over enterprise customers, making sure their experiences with our products are top notch. Our core mission is keeping customers "healthy" - this involves not only driving performance and coordinating tenant-centric health efforts across OXO, but also ensuring our customers are on the latest, fastest, most productive, and best versions of the incredible apps that make up Office. To fulfill this mission, we are looking for an individual who joins us to drive and deliver core Performance improvements constantly, across the suite, leading to delightful experiences for all users.



The successful candidate will demonstrate a solid track record with this scientific process as well as the ability and experience telling clear and compelling data-driven stories, writing papers, educate and inform the engineering community to help shape the product strategy and continuously improve our data-driven culture.You will be delivering results through innovation and persistence when similar candidates have given up.



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.

Responsibilities
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• Works with executives, product engineering leaders, researchers and other data scientists to formulate data-driven answers to hard business and decision-making problems, applying a wide variety of data and techniques to help drive the engineering investments at a strategic and tactical level.
• Identifies data sources, integrates multiple sources or types of data, and develops expertise with multiple data sources to tell a story and to compensate for missing data, identify new patterns and business opportunities, and communicate visually and verbally with clear and compelling data-driven stories.
• Interprets results and develops insights into formulated problems within the business/customer context and provides guidance on risks and limitations.
• Validates, monitors, and drives continuous improvement to methods, and proposes enhancements to data sources that improve usability and results

Qualifications
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Requried Qualifications • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
+ 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 tec
+ OR 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 tec
+ OR equivalent experience.
• 1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
• Experience that spans the full software/service delivery lifecycle - SW engineering, Program Management and Data Science/Engineering.

Preferred Qualifications • 5+ years of experience shipping services
• Candidate would be hypothesis driven, with a passion for data and a bias for action.
• Candidates should be experienced in framing and participating in data-driven business decisions, including measuring, and evaluating outcomes.
• Candidates must be able to communicate complex ideas and concepts to leadership and deliver results.
• Candidates must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems.
• The Team player with proven ability to build trusted relationships.
• Demonstrated ability to work efficiently, prioritize workflow, and meet demanding deadlines.


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.