Microsoft Member Technical Staff - Data Scientist 

United States, New York, New York 

291343229

By applying to this U.S. New York, New York OR Mountain View, CA OR Redmond, WAposition, you are required to be local to the New York  OR San Francisco OR Seattle area and in office 3 days a week.

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)
  • 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.
• 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 language like Python, R, C# to work with data required.

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)
  • 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)
  • 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)
  • OR equivalent experience.
• 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.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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 and .