Senior Data Scientist

Overview

Cloud Operations + Innovation (CO+I) is the team behind one of the World's largest Cloud Infrastructures, responsible for powering all Microsoft online Products and Services as well as powering Microsoft's Cloud First mission. Our focus is on smart growth, high efficiency, and delivering trusted experience to customers and partners worldwide, and we are looking for passionate, high-energy program managers to help achieve that mission.

If you want to have fundamental impact on how Microsoft's Cloud is deployed and operated globally, be involved with one of the most strategically important teams at Microsoft, and have strong technical and business acumen, leadership, creativity, and out-of-the-box thinking are some of the skills you bring to the table - this job is for you!

We are looking for an exceptional Sr. Data Scientist to collaborate with our data science and engineering team to build solutions that improve our Data Center delivery cycle time. As a Senior Data Scientist, you will partner with various teams to develop business requirements to standardize the business input and develop a long-term vision and partnering cross-functionally.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Develop a deep understanding of the Data Center delivery lifecycle and associated data to support data-driven decision-making and continuous process improvement.
• Apply statistical analysis, causal inference, and machine learning techniques to inform business decisions and optimize operational processes.
• Partner with cross-functional stakeholders to translate business questions into structured analyses and actionable insights.
• Develop and enhance data products, reports, and dashboards to improve data quality, visibility, and stakeholder experience.
• Communicate analytical assumptions, methodologies, and results clearly to stakeholders, including senior leaders.
• Collaborate with stakeholders to refine ambiguous problem statements and deliver insights that drive measurable business outcomes.

Qualifications

• Bachelor's degree in Business, Economics, Mathematics, Computer Science, or a related quantitative field.
• 5+ years of experience as a data science practitioner or equivalent experience.
• Strong foundation in statistical modeling, optimization techniques, and quantitative analysis.
• Proficiency applying analytical methods to structured and unstructured data for exploratory analysis, metric development, and insight generation.
• Strong programming skills in SQL and Python for data manipulation, modeling, and reporting.
• Ability to communicate analytical findings effectively to diverse audiences and influence data-informed decision-making.

While not required, we also look for the following Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

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.

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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.