Principal Data Scientist

About the Team

The Search + Distribution (S+D) team is the leading applied artificial intelligence team at Microsoft responsible for delivering quality experiences to over 500M+ monthly active users globally in Microsoft’s search engine, Bing.

Our responsibilities include delivering competitive search results, differentiated experiences, and product and business growth.

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.

We are constantly applying the latest state-of-the-art AI technologies to our product and transferring this technology to other groups across the company.

Job Overview

We are seeking an experienced data scientist to solve cutting-edge metrics and measurement problems in the space of Search and lead cross-team initiatives.

A critical part of the role is to advance our A / B experimentation capabilities for Bing and Microsoft Copilot by introducing advanced, powerful functionality at very large scale to increase experimenter agility and depth of insights while reducing infrastructure costs through smart design of data structures and computation methods.

You will work closely with multiple teams across S+D and beyond to build a measurement strategy and roadmap towards measuring how relevant, fresh, and authoritative our results are while being strategically differentiated from our biggest competitors.

Responsibilities

• Define, invent, and deliver online and offline behavioral and human labeled metrics which accurately measure the satisfaction and success of our customers interacting with Search.
• Apply behavioral game theory and social science understanding to get quality work from crowd workers around the world.
• Develop a deep understanding of business metrics such as daily active users, query share, click share, and query volume across all relevant entry points.
• Influence the product and business direction through metrics analyses.
• Define and build systems and policies to ensure quality, stable, and performant code.
• Lead a team through analysis, design, and code review that guarantees analysis and code quality while helping junior members learn and grow their expertise.
• Make independent decisions for the team and handle difficult trade-offs.
• Translate strategy into plans that are clear and measurable, with progress shared monthly to stakeholders.
• Partner effectively with program management, engineers, finance, marketing, exec management, and other areas of the business.

Qualifications

Required Qualifications :

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years of 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 7+ years of data-science experience OR
• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years of data-science experience OR
• Equivalent experience.

Preferred Qualifications :

• 6+ years of experience coding in Python, C++, C#, C, or Java.
• Customer-focused, strategic, driven for results, self-motivated, and action-oriented.
• Strong organizational, analytical, and data science skills.
• Problem solver : ability to tackle unsolved problems.
• Excellent interpersonal skills for cross-group and cross-culture collaboration.
• Experience with real-world system building and data collection, including design, coding, and evaluation.

Compensation

The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 per year, with a different range applicable to specific work locations.

In the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $173,200 - $282,200 per year.

Certain roles may be eligible for benefits and other compensation.

Equal Opportunity Employer

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable local laws, regulations, and ordinances.

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