Data Scientist II

The Azure Core Organization builds the foundational layer of Microsoft's cloud platform for utility computing. This layer forms one of the lowest levels of the combined services, software, and hardware stack, providing an efficient virtualized computational substrate, a fully automated service management system, and a broad set of highly scalable storage services. These components enable the reliability, performance, and scale required to support Microsoft's cloud offerings.

Within this organization, the Azure Compute Platform Capacity and Efficiency (Azure Compute Platform Capacity and Efficiency (AC2E)) team oversees all aspects of compute platform capacity and efficiency management across the entire fleet. The team ensures that capacity is available across all allocation scopes to meet customer demand while also ensuring that capacity is provisioned efficiently to avoid overspending and negative impacts to cost of goods sold (cost of goods sold (COGS)) and capital expenditures (capital expenditures (CAPEX)). At the scale of Azure's business, balancing these priorities is highly complex, and improvements can prevent customer allocation failures while also generating significant cost savings.

As a Data Scientist IC3 on this team, you will collaborate with software engineers, program managers, and data engineers across Azure. Responsibilities include implementing and measuring metrics, applying statistical techniques to analyze data, identifying patterns, making platform recommendations, contributing to platform intelligence, and using visualization methods to drive insights that lead to meaningful business outcomes. Your work will directly influence improvements to the Azure platform, service capacity fulfillment rates, customer satisfaction, and efficiency metrics such as cost of goods sold (COGS) reduction. You will also have opportunities for mentorship, career growth, and contributions to high-impact areas of the business.

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.

• You will help with initial data collection and understand which analysis techniques are appropriate and which tools are necessary for data exploration. You'll also develop a foundational understanding of methodology and standard statistical options so that you can analyze and organize data as required.
• Understand modeling techniques used within the team, then run model tools on prepared data sets. You'll also analyze model performance and incorporate customer feedback into its evaluation.
• You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You'll also write code for a specific feature or model and develop an understanding of proper debugging techniques.
• Understand each customer's business goals and learn best practices for identifying growth opportunities.
• Examine projects through a customer-oriented focus and manage customer expectations regarding project progress.
• Develop Data insights, Data analysis, recommendations generation by gaining deeper domain knowledge and leveraging AI tools.
• You will integrate analytics intelligence, ML capabilities into the Azure platform as applicable andcollaborate with Microsoft Researchers on strategic projects as applicable.

Required Qualifications

• 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.

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.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 per year.

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

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.