Data Scientist

Overview

The Azure Core Organization is responsible for creating the foundation of Microsoft’s Cloud Platform for utility computing. This platform is one of the lowest levels of the services software/hardware stack and includes an efficient, virtualized computational substrate, a fully automated service management system, and a comprehensive set of highly scalable storage services.

The Azure Compute Capacity and Efficiency (AC2E) team is the team in Azure Core tasked with managing all aspects of Compute capacity and efficiency management across the fleet. Capacity Management needs to ensure that on the one hand, there is sufficient capacity across all regions, allocation domains, and hardware infrastructure to meet all customer demand, while on the other hand ensuring that capacity is provisioned efficiently thereby avoiding overspending and COGS/CAPEX impact. At the scale of Azure’s business, managing this trade-off across the entire Azure Compute fleet is an enormously complex task, where improvements can make the difference between customer allocation failures on the one hand, and gargantuan savings on the other.

As a Data Scientist in the team, you will work closely with our software engineers, program managers, and data engineers across different teams within Azure. You will leverage statistical techniques to analyze data, find patterns and apply visualization techniques to drive business insights that lead to action and successful business outcomes. The value of your work will be reflected in improvements to the Azure platform, Azure service capacity fulfillment rate, customer satisfaction, and various efficiency metrics, including COGS reduction. You will have opportunities for mentorship, accelerate your career growth, and work on truly high-business impact areas.

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

• 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.
• You will 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. -You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus and manage customer e xpectations regarding project progress.
• You will develop Data insights, analysis, recommendations generation gaining deeper domain knowledge.
• You will integrate analytics intelligence, ML capabilities into the Azure platform.
• You will collaborate with Microsoft Researchers on strategic projects as applicable.

Other: Embody our Culture and Values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
• OR equivalent experience.
• 1+ year experience with python or R.

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.

Additional / Preferred Qualifcations:

• Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, OR related field.
• OR related field AND 1+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
• OR equivalent experience.
• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science.
• Data Science IC2 - The typical base pay range for this role across the U.S. is USD $81,900 - $160,200 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 $105,600 - $174,600 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

Microsoft will accept applications for the role until June 23, 2024.