Applied Scientist II at Microsoft

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

199000.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Predictive Analytics, Time Series Analysis, Statistical Techniques, Data Collection, Data Processing, Exploratory Data Analysis, Predictive Modeling, Applied Statistics, Python, Spark, Neural Networks, Regression, Classification, Collaboration

Industry

Software Development

Description

Overview 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. 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. Qualifications Required Qualifications: 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. While not required, we also look for the following Preferred Qualifications: 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. Background Check 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. #COICareers | #EPCCareers | #DCDCareers Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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.

Responsibilities

The Applied Scientist II will apply advanced techniques in data science and AI to enhance data center sustainability and efficiency. This role involves translating complex datasets into actionable insights and collaborating with engineering teams to deploy models at scale.