Member Of Technical Staff, Data Scientist (AI)

TL;DR

Member of Technical Staff, Data Scientist (AI): Driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling with an accent on Copilot usage and quality. Focus on architecting solutions that stand the test of time and finding a path to get things done despite roadblocks.

Location: Expected to work from a designated Microsoft office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.

Salary: USD $119,800 – $304,200 per year.

Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Develop metrics for Copilot usage and quality.
• Drive product insights and track metrics to support Microsoft Copilot.
• Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
• Enable A|B experimentation for new features.
• Analyze large volumes of telemetry data using various algorithms and tools.
• Articulate insights to influence leadership and other key decision makers.

Requirements

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience.
• OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience.
• OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience.
• Proficiency in using one or more programming or scripting language like Python, R, C# to work with data required.

Nice to have

• 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.
• Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.

Culture & Benefits

• Innovate to empower others.
• Collaborate to realize shared goals.
• Culture of inclusion where everyone can thrive at work and beyond.