Data Scientist

Microsoft•Redmond, WA

About The Position

Cloud Operations & Innovation (CO+I) is the engine behind Microsoft’s cloud. We operate a global portfolio of more than 400 datacenters and millions of servers, supporting digital services for over one billion customers and twenty million businesses across more than ninety countries. This infrastructure is designed, operated, and continuously improved by teams of deep technical experts who safeguard reliability, trust, and scale. IT Process and Standards (ITPS), a team within CO+I Core Datacenter Services (CDS), envisions a unified, automated approach to managing IT operations processes and standards across Microsoft’s global datacenter fleet. This ensures the ability to maintain and restore IT capacity efficiently and effectively to meet cloud service availability targets at scale. ITPS defines and evolves processes that underpin datacenter IT operations, including breakfix workflows, service transition, planning and scheduling, and IT service management orchestration. By equipping operations teams with the right tools and procedures, ITPS supports innovation and growth across offerings such as Azure AI, high-performance computing clusters, and mission-critical workloads. We are seeking a highly skilled Data Scientist to join our Data Science team within ITPS. This role is critical for formulating business problems, exploring and analyzing data, and designing and testing predictive and forecasting models. The Data Scientist will identify opportunities for machine learning and predictive analysis, and communicate effectively to influence data-driven decisions across the organization. The candidate will have strong technical expertise in advanced analytics, machine learning, and software development, as well as excellent business acumen and collaborative communication skills. 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 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.
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 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.

Responsibilities

Formulate business problems and translate them into actionable data science projects.
Explore, analyze, and centralize data to supply meaningful insights and create a single version of the truth.
Design, prototype, implement, and test descriptive, predictive, forecasting, and causal inference models.
Identify and action IT operations return to capacity success improvement; perform defect analysis, quantify opportunities, and set targets.
Partner and collaborate with teams to identify opportunities for machine learning and predictive analysis.
Build and deploy visualizations that deliver insights to decision-makers at all organizational levels.
Communicate effectively with technical and non-technical audiences, contributing modeling expertise as a team player.
Influence across disciplines to ensure data-driven decisions and solve critical problems for customers.
Mentor others and foster a culture of continuous learning.
Stay current with advances in the data science industry.
Embody our Culture and Values