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Principal Data Scientist

jobright.com, Redmond, Washington, United States, 98052

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Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Microsoft is seeking a Principal Data Scientist to join the Power Apps Interface team, which is focused on building an AI-first platform for business applications. The role involves leveraging data science and AI to enhance product capabilities while collaborating with various teams to ensure effective use of data. Responsibilities: Working closely with a variety of teams like partner data science, engineering, and UX teams. Developing ML models and solutions using classical algorithms as well as foundation models. Deploying these solutions into production. Measuring and reporting success, using A/B and shadow experiments, creating dashboards and reports as necessary. Using data to answer business questions like potential impact and usage. Presentation of work in the team and at Microsoft, such as during Town Halls and MLADS. Supporting business impact and evaluation supported decision making culture. Qualifications: Required: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) 7 years experience of programming experience and ability to use different languages like: C#, Python, SQL, Kusto, etc. 3 years of experience in statistical tests. 5 years experience using data, investigating data, answering questions & solving puzzles using data, data visualization, and storytelling with data which required attention to detail. Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft background check. Preferred: Doctorate 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 Master'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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) Publication history in respected data mining and AI conferences and journals. Deep understanding of statistics and statistical theory. Have taken qualifying courses on machine learning concepts including, and not limited to: decision trees and forests, gradient descent, logistic regression, deep neural networks, etc. Company: Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, Washington, USA, with a team of 10001+ employees. The company is currently Public Company. Seniority level

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