Member of Technical Staff, Data Scientist - ES AI (Engineering System AI) Team

Overview

Are you passionate about applying your knowledge of statistics, machine learning, AI, and data analytics to change the software development lifecycle to the agentic development lifecycle? Do you want to use data to change how 80,000+ engineers build and ship code everyday? Are you looking for big, creative challenges that show immediate results since your customers will be just down the virtual hall? If so, come join the ES AI (Engineering System AI) team! We build Agency, the agentic engineering system, which is changing the way engineers at Microsoft work. Agency has grown fast, with over 100% user growth in the last few months, and we are tackling hard problems at speed. We need data scientists who can run at ambiguous problems and use science and data to steer the next generation engineering system.

The team is hiring for Member of Technical Staff- Data Scientists with a proven track record of understanding complex business problems and using industry-leading analytical techniques to find insights that transform our business and customer experiences. A well-qualified candidate is highly technical and possesses the drive and persistence needed to tackle complex business problems and create scalable, impactful insights from diverse data sets and pipelines. They also need to be experienced at gathering data science requirements from non-data science individuals – going into an ambiguous problem space, understanding needs, asking the right questions, and building a data science approach to solve the problem. The candidate should be experienced working with multiple different disciplines to identify business or engineering problems, translate them to Data Science problems, conduct the appropriate analysis & modeling to reveal actionable insights, and then drive the right impact to leadership to get the right outcomes.

This is a high visibility role with focus on big transformations and large gains. Engineers, product managers, applied researchers and other disciplines in CAP (Coplit, Agents, and Platform) and beyond will be customers of your work. You’ll have the Agency Leadership Team heavily invested in your success and impact. You will build connections with other Engineering Systems teams across Microsoft, and together you will work to identify, define, and adopt best practices for the next way of building software.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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.

Responsibilities

Qualifications

Data Science IC4 - 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 $160,200 - $261,000 per year.

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

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 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 $188,000 - $304,200 per year.

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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.