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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.\u00a0 By applying to this U.S. Redmond, WA position, you are required to be local to the Greater Seattle area in office 3 days a week.\u00a0 Responsibilities Develop metrics for copilot usage and quality.\u00a0\u00a0\u00a0 Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.\u00a0 Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.\u00a0 Enable A|B experimentation for new features.\u00a0 Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.\u00a0 Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values . Qualifications Required Qualifications: Doctorate 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)\u00a0 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\u00a0 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\u00a0 OR equivalent experience.\u00a0 1+ years\u202fof experience in\u202fleveraging\u202fcomplex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and\u202fpossessing\u202fextensive product knowledge.\u00a0 Experience\u202fwith metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.\u00a0 Proficiency in using one or more programming or scripting language like Python, R, or C# to work with data required.\u00a0 Preferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\u00a0 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\u00a0 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)\u00a0 OR equivalent experience.\u00a0 Experience with prompt engineering and using LLMs.\u00a0 Experience building data pipelines to support analytics and experiment scenarios\u00a0 Experience working on product analytics to drive product improvements\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while\u00a0clearly communicating complex technical concepts to both technical and non-technical stakeholders Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. 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