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SalaryEvery year, we welcome thousands of university students from around the the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.
We’re a company of learn-it-alls rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.
Data Scientists at Microsoft use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms, and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
Those hired into this role are invited to participate in the Microsoft Aspire Experience, a two-year learning and development program in which you'll build your network, cultivate intentional capabilities, and gain perspective into the career opportunities across Microsoft’s many exciting businesses.
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.
Please note this application is only for roles based in our Redmond, Washington office. For roles in other offices in the United States, please see our Careers site.
Responsibilities
As a Data Scientist you will:
- Formulate approaches to solve problems using well defined algorithms and data sources
- Incorporate an understanding of product functionality and customer perspective to provide context for those problems
- Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data
- Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve
- Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
- Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results
Qualifications
Required/Minimum Qualifications
- Pursuing or completed a Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Preferred Qualifications:
- Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.
- Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.
- Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.
- Some experience and or project course work with product and service telemetry systems.
- Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.
- Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data.
Data Science IC2 - The typical base pay range for this role across the U.S. is USD $76,400 - $151,800 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 $100,300 - $165,400 per year.
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $94,300 - $182,600 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 $120,900 - $198,600 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 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.
