Principal Data & Applied Scientist

Overview

The Time Places team is looking for a Principal Data & Applied Scientist. This role focuses on leveraging LLMs and developing advanced machine learning models and solutions to enhance time management, boost productivity, and improve workplace experiences for M365 customers in hybrid work environments. Microsofts 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.

Qualifications Required Qualifications :

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8 years related experience (e.g., statistics, predictive analytics, research)

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6 years related experience (e.g., statistics, predictive analytics, research)

Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5 years related experience (e.g., statistics, predictive analytics, research)

OR equivalent experience.

Other Requirements :

Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire / transfer and every two years thereafter.

Preferred Qualifications :

Compensation :

Applied Sciences IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 per year.

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

Microsoft will accept applications for the role until June 13, 2025.

Responsibilities

The position involves developing and integrating machine learning models, creating self-service reporting platforms for stakeholders, and delivering data-driven insights to solve complex business problems. It also includes defining metrics to evaluate model performance and ensuring that solutions align with business goals, scale effectively, and meet quality standards. Key responsibilities include :

Locations

Redmond, Washington, United States