[Remote] Principal Data Scientist

Note: The job is a remote job and is open to candidates in USA. Microsoft is a leading technology company that empowers individuals and organizations to achieve more. The Principal Data Scientist will own the delivery of strategic data science projects, collaborating with customers and internal teams to design and implement advanced analytics and AI solutions that drive business impact.ResponsibilitiesLeverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with business stakeholdersLead the design and development of Data Science and broader AI solutions of a team of data scientists and engineersEngage with business stakeholders to bring them along with business performance improvement with data and AIApprentice and generate the next generation of data scientists and actively participate and lead their mentoringAcquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrityApply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholdersTest, review, and improve models by analysing performance, incorporating feedback, and contributing to the review processWrite and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systemsCollaborate with customers and Microsoft teams to define business needs, create roadmaps for performance improvements, and influence stakeholders using storytelling and visual tools to drive solution valueUphold ethical standards by emphasizing Responsible AI principles in guiding stakeholders throughout the processFocus on customer needs and perspectives to promote adoption and build trustDevelop and execute tailored solutions by overcoming obstacles and leveraging in-depth knowledge of Microsoft productsMaintain transparency about data limitations to set realistic expectations and ensure accountabilityProactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other cross functional team membersAs a demonstrated industry thought leader in data science, you will build an in-depth understanding of industry problems domain and apply both technical and domain knowledge to drive novel customer experiences. You’ll also write extensible code that solves complex business problems spanning the entire software development lifecycleYou will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs and offer pragmatic customer solutions that align with their data capabilitiesYou will embody our culture and valuesSkillsDoctorate 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 Master'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)OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experienceDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ 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 10+ 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 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)OR equivalent experience3 to 5 years of Consulting (including System Integrator, Technical Consulting or Management Consulting) experienceExperience developing and deploying Agentic AI solutionsBenefitsCertain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-payCompany OverviewMicrosoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. It was founded in 1975, and is headquartered in Redmond, Washington, USA, with a workforce of 10001+ employees. Its website is https://www.microsoft.com.Company H1B SponsorshipMicrosoft has a track record of offering H1B sponsorships, with 1317 in 2026, 9192 in 2025, 9343 in 2024, 7677 in 2023, 11403 in 2022, 7210 in 2021, 7852 in 2020. Please note that this does not guarantee sponsorship for this specific role.