Microsoft
Senior Data Scientist- Experimentation
Microsoft, Redmond, Washington, United States, 98052
Are you ready to revolutionize software innovation? Join the Experimentation Team at Microsoft, leading the charge under the Azure AI Platform. We're driving the future with ExP, one of the planet’s largest experimentation platforms, trusted by Microsoft's premier teams like Azure, Teams, Bing, and Office. With ExP, we're transforming decision-making through A/B testing, and enabling customers to answer questions like: What factors affect the quality of the Bing user experience? What causes users to make a first payment with XBox? How does a new Outlook feature impact Office’s business metrics?
We are hiring a Senior Data Scientist-Experimentation who will get the opportunity to push the envelope for how data is leveraged and change the way software is built. You will also have the opportunity to work in an agile and diverse engineering team, closely partnering with world-class data scientists with leadership that will help you grow your career. In addition, help evolve the ExP platform into an Azure offering.
Visit
https://www.microsoft.com/en-us/research/group/experimentation-platform-exp/
for more information about the ExP Platform including videos, articles, and publications.
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
Apply your expertise in quantitative analysis, data mining, and the presentation of data to develop experiments and provide algorithmic problem-solving solutions.Build data manipulation, processing, and data visualization tools and share these tools and your knowledge across the team, C&I, and Microsoft.Handle large amounts of data using various tools, including your own.Ensure high-quality data and understand how that data generated from experimental design can produce actionable, trustworthy conclusions.Partner with internal clients such as Xbox, Windows, Skype for Business, Teams, Microsoft Office 365.Drive end-to-end projects by utilizing, applying, and analyzing data associated with business problems.Engage with senior management in making key business decisions.Mentor others in the team.
Other
Embody our Culture and Values.
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.2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.Scripting knowledge in Python, R, MATLAB, Perl, SQL, or similar languages.Programming skills as we are programming-language agnostic, so welcome all languages.
Preferred Qualifications
Experience working with programming languages like Java, C++, C# with tools such as Hadoop, Spark, Pig, or Hive.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information
here .
Microsoft will accept applications for the role until May 9, 2024.
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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We are hiring a Senior Data Scientist-Experimentation who will get the opportunity to push the envelope for how data is leveraged and change the way software is built. You will also have the opportunity to work in an agile and diverse engineering team, closely partnering with world-class data scientists with leadership that will help you grow your career. In addition, help evolve the ExP platform into an Azure offering.
Visit
https://www.microsoft.com/en-us/research/group/experimentation-platform-exp/
for more information about the ExP Platform including videos, articles, and publications.
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
Apply your expertise in quantitative analysis, data mining, and the presentation of data to develop experiments and provide algorithmic problem-solving solutions.Build data manipulation, processing, and data visualization tools and share these tools and your knowledge across the team, C&I, and Microsoft.Handle large amounts of data using various tools, including your own.Ensure high-quality data and understand how that data generated from experimental design can produce actionable, trustworthy conclusions.Partner with internal clients such as Xbox, Windows, Skype for Business, Teams, Microsoft Office 365.Drive end-to-end projects by utilizing, applying, and analyzing data associated with business problems.Engage with senior management in making key business decisions.Mentor others in the team.
Other
Embody our Culture and Values.
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.2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.Scripting knowledge in Python, R, MATLAB, Perl, SQL, or similar languages.Programming skills as we are programming-language agnostic, so welcome all languages.
Preferred Qualifications
Experience working with programming languages like Java, C++, C# with tools such as Hadoop, Spark, Pig, or Hive.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 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 $145,800 - $238,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information
here .
Microsoft will accept applications for the role until May 9, 2024.
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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