Microsoft · 2 days ago
Applied Scientist II
Microsoft is seeking an Applied Scientist II to join their Cloud Operations & Innovation (CO+I) Cloud Applied Artificial Intelligence (CAAI) group. In this role, you will leverage machine learning and predictive analytics to enhance data center sustainability and efficiency, collaborating with cross-discipline teams to drive impactful initiatives.
Artificial Intelligence (AI)Enterprise SoftwareCloud ComputingCyber SecuritySoftwareProfessional ServicesInformation TechnologyAgentic AIApplication Performance ManagementBusiness DevelopmentDevOpsInformation ServicesManagement Information SystemsNetwork Security
Responsibilities
Apply advanced techniques in data science, machine learning, and AI to improve data center sustainability and efficiency
Translate complex datasets into actionable insights and communicate findings clearly to stakeholders
Design and execute experiments to validate hypotheses and evaluate new approaches, ensuring rigor and reproducibility
Provide strategic input on business opportunities and product enhancements based on data-driven insights
Collaborate with engineering teams to deploy and optimize models at scale
Contribute to product strategy, aligning scientific solutions with business objectives to deliver measurable impact
Partner with cross-functional stakeholders to drive initiatives that achieve tangible business outcomes
Qualification
Required
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year of data science experience
OR Master's degree in related field AND 3+ years of data science experience
OR Bachelor's degree in related field AND 5+ years of data science experience
OR equivalent experience
Preferred
Doctorate in related field AND 3+ years of data science experience
OR Master's degree AND 5+ years
OR Bachelor's degree AND 7+ years
OR equivalent experience
Experience with large-scale telemetry systems, data collection, processing, and analytics
Expertise in Exploratory Data Analysis, Inference, Predictive Modeling (Regression, Classification), Time Series Analysis, and Machine Learning (SVMs, Gradient Boosted Trees, Neural Networks, CNNs)
Strong foundation in applied statistics and mathematics with ability to apply advanced analytical techniques to solve complex problems
4+ years of experience applying statistical techniques (e.g., experimentation, statistical modeling)
2+ years of customer-facing, project-delivery experience
Proficiency with Spark and Python
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
Recent News
2026-01-16
Morningstar.com
2026-01-16
Company data provided by crunchbase