
Empowering every person and organization on the planet to achieve more.
Senior Data Scientist - Microsoft Advertising
Overview:
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
We are looking for a Senior Data Scientist who is willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
- Responsibilities- Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business.
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- 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.
Qualifications:
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications:
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
- Comitted organizational, analytical, data science skills.
- Ability to solve problems that the world has not solved before.
- Experience with real world system building and data collection, including design, coding and evaluation.
- Experience with driving large collaboration across multiple teams.
- Experience with communicating with different audiences to provide insights.
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
#MicrosoftAI
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 $158,400 - $258,000 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
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.
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Microsoft 소개

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
직원 수
Redmond
본사 위치
$3000B
기업 가치
리뷰
10개 리뷰
4.4
10개 리뷰
워라밸
3.2
보상
4.1
문화
4.3
커리어
3.8
경영진
4.0
82%
지인 추천률
장점
Cutting-edge technology and innovative projects
Great team culture and collaborative atmosphere
Excellent benefits and competitive compensation
단점
Heavy workload and frequent overtime
High expectations and stressful environment
Bureaucratic processes can be slow
연봉 정보
5,620개 데이터
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Applied Science
1개 리포트
$234,166
총 연봉
기본급
$180,128
주식
-
보너스
-
$234,166
$234,166
면접 후기
후기 1개
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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