Data Scientist

Microsoft•Redmond, WA

About The Position

Cloud Operations + Innovation (CO+I) is the organization behind one of the world’s largest cloud infrastructures, responsible for powering all Microsoft online Products and Services as well as enabling Microsoft’s “Cloud First” mission. Our team is focused on smart growth, operational efficiency, and delivering a trusted, world‑class experience to customers and partners globally. We are looking for passionate, high‑energy analytics professionals to help us achieve that mission. If you want to have a fundamental impact on how Microsoft’s cloud is deployed and operated worldwide, be part of one of the most strategically critical teams at Microsoft, and bring strong technical and business acumen, leadership, creativity, and out‑of-the-box thinking - this role is for you. We are looking for an exceptional Data Scientist to collaborate closely with our data science and engineering teams to build advanced analytics solutions that improve data center capacity delivery. In this role, you will partner with cross‑functional stakeholders to shape business requirements, drive standardization of inputs, and help define a long‑term analytical vision that influences how Microsoft delivers cloud capacity at scale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree 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 consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 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 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.
2+ year(s) hands-on experience in SQL queries.
2+ year(s) hands-on experience in a data visualization tool like Power BI.
2+ year(s) hands-on experience in AI, ML or statistical modeling.
2+ year(s) hands-on experience in data acquisition/ETL.
Experience in data center infrastructure.

Responsibilities

Build scalable data assets (dashboards, underlying data models, and workflows) to provide reliable and high velocity decision support
Oversee the lifecycle of analytics artifacts (e.g., models, dashboards) from data analysis, creation to deployment, and ensure robustness and scalability.
Data Preparation and Understanding: Assist with extract transform load (ETL), address data quality issues, apply the right analysis techniques and leverage the right data exploration technologies and tools (e.g., structured query language (SQL), Python, descriptive statistics, etc.).
Build end-to-end Business Intelligence (BI) Solutions: Own business customer relationship, BI reporting, Data Quality/Security aspects by adopting standard architectural standards.
Apply statistical methods, causal inference, and machine learning to inform data center business decisions, and optimize our processes and systems.
Deeply understand the data center delivery cycle and underlying data to support leadership and stakeholders make data-driven decisions and continuous process improvements.
Partner closely with cross functional stakeholders to build and deliver world-class support and data insights.
Guide business leaders with confidence in your analytics and reporting to ensure smooth execution.
Collaborate with stakeholders to take an ambiguous business problem statement, refine the scope, conduct the analysis, and use the results to drive informed decisions.
Summarize and clearly communicate data analysis assumptions and results.
Mentor and support the growth of colleagues, stay current with advances in analytics, and foster a culture of learning and innovation.