トレンド企業

Microsoft
Microsoft

Empowering every person and organization on the planet to achieve more.

Senior Data Scientist - Microsoft Advertising

職種データサイエンス
経験シニア級
勤務地Redmond, WA, United States
勤務オンサイト
雇用正社員
掲載2ヶ月前
応募する

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について

Microsoft

Microsoft

Public

Microsoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.

10,001+

従業員数

Redmond

本社所在地

$3000B

企業価値

レビュー

10件のレビュー

4.4

10件のレビュー

ワークライフバランス

3.2

報酬

4.1

企業文化

4.3

キャリア

3.8

経営陣

4.0

82%

知人への推奨率

良い点

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

改善点

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

給与レンジ

5,620件のデータ

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Mid/L4 · Applied Science

1件のレポート

$234,166

年収総額

基本給

$180,128

ストック

-

ボーナス

-

$234,166

$234,166

面接レビュー

レビュー1件

難易度

4.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 0%

ネガティブ 100%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge