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The Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners
This is an exciting open to be a Senior Data Scientist for AI features in Microsoft Teams. Copilot in Teams summarize conversations, automatically generate meeting notes, and much more. The person in this role will help build the next generation of AI experiences in Microsoft Teams. The role will span the full lifecycle of building an AI product from ideation, evaluating AI model output, and analyzing how customers are using the product.
AboutOur Culture
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. We arelooking for you to bring a fresh perspective andyour unique voice to our team.
Responsibilities
Automate the evaluation of AI model quality metrics. Prototype new capabilities using new AI models. Use Python to interact with and evaluate AI models. Design and execute experiments on new AI features and models. Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., machine learning or AI applications) 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 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 equivalent experience. 3+ years of demonstrated experience in SQL, R, Python, or related tools for large-scale analysis and automation. 3+ years of demonstrated experience leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
Additional Or Preferred Qualifications
Experience as a data scientist for an online service, app, or Web site with millions of users. Experience with machine learning/AI in a live environment. Experience with generative AI technologies including large language models (LLMs). Experience with measuring AI/ML model quality and performance. Experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $101,200 - $194,800 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 $130,000 - $213,200 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
#MicrosoftTeams
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. #J-18808-Ljbffr
This is an exciting open to be a Senior Data Scientist for AI features in Microsoft Teams. Copilot in Teams summarize conversations, automatically generate meeting notes, and much more. The person in this role will help build the next generation of AI experiences in Microsoft Teams. The role will span the full lifecycle of building an AI product from ideation, evaluating AI model output, and analyzing how customers are using the product.
AboutOur Culture
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. We arelooking for you to bring a fresh perspective andyour unique voice to our team.
Responsibilities
Automate the evaluation of AI model quality metrics. Prototype new capabilities using new AI models. Use Python to interact with and evaluate AI models. Design and execute experiments on new AI features and models. Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
Qualifications
Required/Minimum Qualifications
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., machine learning or AI applications) 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 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 equivalent experience. 3+ years of demonstrated experience in SQL, R, Python, or related tools for large-scale analysis and automation. 3+ years of demonstrated experience leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
Additional Or Preferred Qualifications
Experience as a data scientist for an online service, app, or Web site with millions of users. Experience with machine learning/AI in a live environment. Experience with generative AI technologies including large language models (LLMs). Experience with measuring AI/ML model quality and performance. Experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $101,200 - $194,800 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 $130,000 - $213,200 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
#MicrosoftTeams
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. #J-18808-Ljbffr