Data Scientist

Microsoft; Wisconsin; On-site; USD 100,000 - 199,000; Full time

Job summary

Microsoft is actively looking for a Data Scientist to join their Advertising Data Science Team in Wisconsin. This role involves measuring success across products, defining metrics, and applying data science to solve complex problems. Candidates should have a strong educational background in data-related fields and experience with languages such as Python and SQL. A commitment to collaboration and innovation is essential.

Qualifications

• Doctorate or Master's in Data Science, Mathematics, or related field.
• 1+ years experience in data science with relevant languages.
• Experience in customer-facing professional services.

Responsibilities

• Define, invent, and deliver metrics for various products.
• Think critically about experimental design.
• Engage with stakeholders for actionable insights.

Skills

Python

R

SQL

Education

Doctorate in Data Science or related field

Master's Degree in Data Science or related field

Bachelor's Degree in Data Science or related field

Job description

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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 Data Scientist with high-energy and are creative modeling geeks who are 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.

Responsibilities

• Measurement: Define, invent, and deliver metrics which accurately measure success 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.
  
  

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
• OR Master's Degree 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 tec
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
• OR equivalent experience.
• Experience in customer-facing, project-delivery, professional services, and/or consulting.
• Experience in the following programming languages like Python/R, SQL, C#.
  

Preferred Qualifications

• 5+ years data-science experience in managing structured and unstructured data, applying statistical techniques and reporting results
• Experience in applying statistics and ML models to generate clear actionable insights.
• Experience in A/B testing, metrics and/or time series analysis.
• Experience with communicating with different audiences to provide insights
• Experience in solving complex business problems.
  
  

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

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

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#MicrosoftAI

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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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