Applied Scientist ||

Microsoft•Washington, DC

4h•$100,600 - $199,000

About The Position

Join the forefront of data center innovation with Microsoft’s Cloud Operations & Innovation (CO+I) Cloud Applied Artificial Intelligence (CAAI) group as an Applied Scientist II. In this pivotal role, you’ll help drive sustainability and efficiency across Microsoft’s core infrastructure that powers services like Bing, Office 365, Xbox, OneDrive, and Azure. As an Applied Scientist II, you will leverage machine learning, big data, predictive analytics, and time series analysis to transform data center efficiency. With over 400 data centers in 32 countries and millions of servers, our infrastructure offers a unique opportunity to make a global impact. You’ll collaborate with cross-discipline teams to push the boundaries of data center sustainability and efficiency. With environmental sustainability and optimization at the heart of our design and operations, we continue to evolve to meet the ever-changing business demands that position Microsoft as a world-class cloud provider. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

Requirements

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.
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.

Nice To Haves

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.

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.
Embody our culture and values.

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