Senior Applied Scientist

Join the forefront of data center innovation with Microsoft's Cloud Operations & Innovation Data Center Cloud Applied Artificial Intelligence (CO+I DCAAI) group as an Senior Applied Scientist. In this pivotal role, you'll play a key part in driving the sustainability and efficiency of Microsoft's core infrastructure that powers our leading online services, including Bing, Office 365, Xbox, OneDrive, and the Microsoft Azure platform.

As a Senior Applied Scientist in DCAAI, you will leverage machine learning, advanced analytics, predictive modeling, and timeseries analysis to transform how Microsoft assesses and manages risk across the lifecycle of its global data center portfolio-from construction through operations. With over 400 data centers in 32 countries and millions of servers, you will help shape the safety, resilience, and reliability of one of the world's most complex critical infrastructure systems.You'll partner with crossdisciplinary experts in engineering, construction, program management, operations, and sustainability to build models that illuminate evolving risks and drive proactive interventions.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. We approach this mission with a growth mindset, innovation, shared goals, and a culture grounded in respect, integrity, accountability, and inclusion.

• Analyze largescale telemetry and timeseries datafrom data center infrastructure developing products improving data center efficiency, sustainability and infrastructure health.
• Apply statistical modeling, machine learning, and forecasting techniquesto build predictive and prescriptive models that drive actionable outcomes.
• Translate complex datasets into clear, actionable insightsthat improve operational effectiveness, inform longterm strategy, and enable datadriven decisionmaking across DCAAI.
• Design, run, and evaluate controlled experiments(A/B tests, offline evaluations, simulations) to validate hypotheses, test scientific approaches, and ensure rigor, reliability, and reproducibility.
• Build and prototype new algorithms and modeling approaches, evaluating tradeoffs in accuracy, interpretability, computational efficiency, and deployment feasibility.
• Collaborate closely with engineering teamsto productionize and operationalize models at cloud scale, ensuring performance, reliability, and maintainability in realworld environments.
• Partner with product, engineering, and operations stakeholdersto identify highimpact opportunities, scope scientific workstreams, and drive measurable business and sustainability outcomes.
• Provide strategic, datadriven guidanceon potential product enhancements, optimization opportunities, and longterm investment areas.
• Contribute to the product roadmapby aligning scientific solutions with organizational priorities and by proposing innovative telemetrybased capabilities.
• Champion best practices in data quality, feature engineering, experimental design, and model governance, ensuring scientific excellence across the team.
• Communicate findings effectivelythrough wellcrafted narratives, visualizations, and presentations accessible to both technical and nontechnical audiences.

Embody ourcultureandvalues.

Required Qualifications:

• 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 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 Bachelor'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 equivalent experience..

Other Requirements:

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 Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• 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)
  • OR equivalent experience.
• Experience with large-scale product and service telemetry systems, demonstrating a deep understanding of data collection, processing, and analyticalmethodologies.
• Experience with Exploratory Data Analysis, Inference analysis, Predictive analysis (Regression, Classification, etc.), Time Series Analysis and Forecasting, and Machine Learning (SVMs, Gradient Boosted Trees, Neural Networks, CNNs, etc.).
• Foundation in applied statistics and mathematics, with the ability to apply advanced analytical techniques to solve complex problems.
• 4+ years of experience leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).
• 2+ years of customer-facing, project-delivery experience.
• Experience with Spark and Python.
• Must have led a project where you independently framed a complex problem, developed testable hypotheses, and executed a rigorous, evidenceled investigation to validate the solution.

#COICareers

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.