Principal Applied Science Manager

Senior • Hybrid • On-site

$163,000 - $296,400/yr

Redmond, WA

Overview

Be at the forefront of AI by joining M365 Copilot team and take part in shaping the future of AI-powered user experiences across multiple Microsoft platforms. As a Principal Applied Science Manager, you will transform how M365 users conduct Deep Research by finetuning LLMs (large language model), chain of thought techniques, intelligent information retrieval techniques or through agent orchestration. These innovations will enhance M365 Chat, Researcher agent, Windows Companions, or highly personalized search and recommendations systems in widely used office applications.

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.

Qualifications

Required Qualifications:

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
5+ years people-management experience.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

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:

Doctorate 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 Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ 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 15+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
5+ years of creating publications (e.g., patents, libraries, peer-reviewed academic papers)
3+ year(s) experience developing and deploying live production systems, as part of a product team.
3+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

Applied Sciences M6 - 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: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until July 28, 2025.

#M365CORE

Responsibilities

You will master and gain expertise in broad areas of AI and ML, including trending research techniques. You’ll also gain deep knowledge of building enterprise intelligence on office user’s data.
You will review business requirements and incorporate research to meet business goals. You ‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.
You will educate your team with industry, technological and competitor insights, lead by example, provide recognition as appropriate, and help establish best practices and standards. You’ll identify and inspire new talent to join Microsoft and share research findings through publication. 
You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
You will collaborate with a multidisciplinary team to create scalable and ethical AI solutions.

Microsoft

Microsoft is a global technology company that focuses on empowering every person and organization to achieve more. With a mission to deliver the core infrastructure and foundational technologies for Microsoft's online businesses, including Bing, MSN, Office 365, Xbox Live, Teams, OneDrive, and the Microsoft Azure platform, the company is dedicated to powering the 'Intelligent Cloud' mission. Microsoft values respect, integrity, and accountability, and fosters a culture of inclusion where employees can thrive. The company is committed to continuous improvement and collaboration to drive innovation and provide high-quality results to customers. With a diverse and inclusive workforce, Microsoft is an equal opportunity employer.