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# Senior Data Scientist

- **Company:** Microsoft
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Salary:** $119,800.0 - $234,700.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Data Analysis, Microsoft Online Services, C Sharp (Programming Language), Web Development, R (Programming Language), Python (Programming Language), Microsoft Copilot, Unstructured Data, Usage Analysis, Scripting, Large Language Models, Prompt Engineering, Information Technology, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.nexxt.com/job.asp?id=3474065937&tx=FR4744FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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)
 * 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)
 * 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)
 * OR equivalent experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

 * Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter., * Doctorate 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)
 * OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 * OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 * OR equivalent experience.
 * 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.
 * Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.
 * Proficiency in using one or more programming or scripting languages like Python, R, C# to work with data.
 * Experience with prompt engineering and using LLMs.
 * Experience building data pipelines to support analytics and experiment scenarios
 * Experience working on product analytics to drive product improvements
 * 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 clearly communicating complex technical concepts to both technical and non-technical stakeholders
 * Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
 * Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.

#AIX

#Copilot

#DataScience

#ProductInsights

## Description

* Develop metrics for copilot usage and quality.
 * Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.
 * Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation
 * Enable A|B experimentation for new features.
 * Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own
 * Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
 * Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
 * Enjoy working in a fast-paced, design-driven, product development cycle.
 * Embody our Culture and Values.