Principal Data Scientist

Mountain View, CA, United States

The Search + Distribution (S+D) team is the leading applied artificial intelligence team at Microsoft responsible for delivering the quality experience to over 500M+ monthly active users around the world in Microsoft’s search engine, Bing. Our responsibilities include delivering competitive search results, differentiated experiences, and product and business growth. We are constantly applying the latest state of the art AI technologies to our product and also transferring this technology to other groups across the company.

We sre seeking experienced data scientist to solve cutting-edge metrics and measurement problems in the space of Search, and lead cross-team initiatives. We believe metrics play a key role in executing on the strategy for building the final product.

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 eventually increase experimenter agility and depth of insights, and reduce infrastructure cost through smart design of data structures and computation methods. The role requires not only skills in data science, but also knowledge in data engineering and systems. 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. We expect you to work with Microsoft Research and the rest of academia to unravel complex problems in our products and push the limits of what AI can do for our customers. The world needs credible alternatives to find authoritative information on the web, so there is social responsibility.

This Principal Data Scientist position is a very strategic position part of the S+D Bing Metrics and Analytics team. S+D itself is part of the broader Windows and Web Experiences Team (WWE) and this position will collaborate with and influence other data science and metrics groups in WWE such as Edge, MS Start, Maps, Bing Ads and more. If you are passionate about working on the latest and hottest areas that will help you develop skills in Artificial Intelligence, Machine Learning, data science, scale systems, UX, and product growth, this is the team you’re looking for!

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. 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. 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 the quality work out of crowd workers from around the world

Develop deep understanding of business metrics such as daily active users, query share, click share and query volume across all the 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 guarantee analysis and code quality and allow more junior members to learn and grow their expertise while helping the team build an inclusive interdisciplinary culture where everyone can do their best work

Make independent decisions for the team and handle difficult tradeoffs

Translate strategy into plans that are clear and measurable, with progress shared out 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+ 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 7+ 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 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

OR equivalent experience.

Preferred Qualifications: 6+ years of experience coding in Python, C++, C#, C or Java.

Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action.

Organizational, analytical, data science skills and intuition.

Problem solver: ability to solve problems that the world has not solved before

Interpersonal skills: cross-group and cross-culture collaboration.

Experience with real world system building and data collection, including design, coding and evaluation.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $133,600 - $256,800 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 $173,200 - $282,200 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

#WWE# #SearchDistribution# #Bing# Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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