Job description

Overview Microsoft Cloud Operations + Innovation (CO+I) is the engine that powers Microsoft's cloud services. Microsoft Cloud Operations + Innovation 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).  Are you passionate about Cloud Computing technology and driving growth in one of Microsoft’s core businesses? Do you aspire to be part of a team relentlessly focused on customer needs, market expansion and advancing Microsoft Cloud’s first strategy? If yes, look no further than the CO+I Demand Planning Data Science Team. Customers and analysts recognize Azure’s tremendous momentum which continues month over month. To help customers achieve their goals, Azure continues to build the largest global footprint of any Cloud provider. 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. 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. Qualifications Required qualifications: • 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 Other 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. Preferred Qualifications: • 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. #COICareers Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com 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.

Requirements

Must-haves

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.
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.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuremlpythonagileaimachine learning

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