Data Scientist, Datacenter

Microsoft • Redmond, WA

7d • $102,100 - $219,200

About The Position

Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. CO+I is responsible for designing, building, and operating our unified global datacenters, managing the supply planning and capacity utilization of our unified infrastructure, and is responsible for all of the operations needed to run the physical infrastructure (including supply chain, hardware, power, security, and workflow teams). The CO+I Demand Planning Data Science team delivers Microsoft’s Long Range Infrastructure plan using state of the art econometric/ML models, risk simulations and business intelligence. We are hiring Data and Applied Scientist to focus on creating cutting edge econometric/ ML demand and capacity need models. Additionally, they will have to be able to leverage their software engineering skills to connect to various upstream and downstream systems ensuring the forecasting plan matches the execution. 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

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• 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

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) AND/OR practical experience is required.
• Experience developing and deploying predictive analytics, econometric, machine learning, or forecasting models that drive business decision-making.
• Demonstrated experience in solving complex problems across demand and supply operations.
• Proficiency in Python, including data wrangling, statistical analysis, model development, automation, and productionization of analytics solutions.
• Proven ability to translate statistical concepts and insights into clear, actionable information for a broad range of audiences.
• Experience translating business requirements into scalable analytical solutions through close collaboration with program managers, stakeholders, and end users.
• Demonstrated ability to leverage AI-powered tools and copilots to improve development productivity, automate workflows, and enhance self-service analytics capabilities.

Responsibilities

• Apply their expertise in quantitative analysis, data mining, and the presentation of data to develop econometric/ ML models
• Understand fundamental business dynamics impacting demand, and develop automated statistical solutions for forecasting.
• Develop E2E models in Python – including data manipulation, model building and business applications
• Work closely with program managers, users and stakeholders to gather requirements, prioritize features, and drive good design.
• Collaborate with access control to ensure compliance and data security.
• Drive continuous improvement through good documentation, adherence to agile methodology, and commitment to measuring success.
• Be an active member of the Data Science Center of Excellence by staying up to date on technology and proactively participating in efforts to document and promote Power BI best practice.
• Embrace AI both to improve your productivity as a developer and enable new self-service capabilities for users.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level