Microsoft · 4 days ago
Principal Data Scientist
Microsoft is seeking a Principal Applied Scientist to join their Azure Solutions and Ecosystem team. In this role, you will design and build AI models and architectures to enhance enterprise cloud solutions, enabling IT professionals and Systems Integrators to improve productivity and efficiency.
Agentic AIApplication Performance ManagementArtificial Intelligence (AI)Business DevelopmentDevOpsInformation ServicesInformation TechnologyManagement Information SystemsNetwork SecuritySoftware
Responsibilities
Design, train, and optimize AI/ML models for managed solutions across Azure workloads
Develop predictive and generative models to automate configuration, troubleshooting, and performance optimization
Define and implement scalable AI architectures integrated into Azure solutions
Ensure enterprise-grade reliability, security, and compliance in AI-driven components
Build AI capabilities that streamline IT operations and enhance Systems Integrator workflows
Contribute to solutions improving knowledge worker productivity alongside Microsoft 365
Partner with research, engineering, and product teams to align AI initiatives with business goals
Mentor scientists and foster a culture of innovation and inclusion
Qualification
Required
Doctorate 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 experience
5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
3+ years of experience in applied AI/ML research and development
Expertise in deep learning, NLP, and large-scale model deployment
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Preferred
Doctorate 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 experience
Proficient architectural thinking for AI systems in distributed environments
Ability to translate complex technical concepts into actionable strategies for product teams
Excellent communication and collaboration skills across diverse teams
Growth mindset and commitment to fostering an inclusive work environment
Company
Microsoft
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.
H1B Sponsorship
Microsoft has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9192)
2024 (9343)
2023 (7677)
2022 (11403)
2021 (7210)
2020 (7852)
Funding
Current Stage
Public CompanyTotal Funding
$1MKey Investors
Technology Venture Investors
2022-12-09Post Ipo Equity
1986-03-13IPO
1981-09-01Series Unknown· $1M
Leadership Team
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