Data Scientist II

Microsoft

1d

About The Position

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.

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.
• 1+ years of experience with Python or R.

Responsibilities

• 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 and collaborate with Microsoft Researchers on strategic projects as applicable.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree