# Member of Technical Staff, Data Scientist

**Company**: Microsoft
**Location**: Boulder
**Work arrangement**: hybrid
**Experience**: staff
**Job type**: full-time
**Salary**: $119,800 - $234,700 per year
**Category**: Engineering
**Industry**: Technology
**Ticker**: MSFT
**Wikidata**: https://www.wikidata.org/wiki/Q2283

**Apply**: https://microsoft.ai/job/member-of-technical-staff-data-scientist-11/
**Canonical**: https://yubhub.co/jobs/job_45442000-515

## Description

As Microsoft continues to push the boundaries of AI, we are on the lookout for individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. We're looking for a Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. You will help us describe and measure how people use Microsoft Copilot.

The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. You will develop metrics for Copilot usage and quality, drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot. You will also drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.

You will enable A|B experimentation for new features, hands-on analysis of large volumes of telemetry data using various algorithms and tools, and articulate insights, storyboard with data and communication to influence leadership and other key decision makers. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.

We're looking for someone who thinks deeply about measurement and human-AI interactions, and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.

## Skills

### Required
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Proficiency in using one or more programming or scripting language like Python, R, C# to work with data
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security
- Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results

### 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
- 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