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 Platform Capacity and Efficiency (AC2E) team is the team in Azure Core organization tasked with managing all aspects of Compute Platform Capacity and Efficiency Management across the fleet. Platform Capacity Management needs to ensure that on the one hand, there is sufficient capacity across all allocation scopes 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 II for the (AC2E) team, you will work closely with our software engineers, program managers, and data engineers across different teams within Azure. You will implement/measure Metrics, leverage statistical techniques to analyze data, find patterns, make platform recommendations, work-on platform intelligence, apply visualization techniques to drive business insights that lead to action and successful business outcomes. The impact of your work will be measured by enhancements to the Azure platform, fulfillment rate of Azure service capacity, 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 understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You'll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.
You will understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. 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 efficient code for a specific feature and develop a working expertise 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 expectations regarding project progress.
You will develop Data insights, Data analysis, recommendations generation by gaining deeper domain knowledge and leveraging AI tools. You will integrate analytics intelligence and ML capabilities into the Azure platform as applicable.
You will collaborate with Microsoft Researchers on strategic projects as applicable.
Embody our Culture and Values.
Qualifications
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 tec
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 tec
OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.
1+ year(s) of experience in programming with python or equal
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:
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.
Experience working with internal customers to improve platform services quality and effieciency.
Experience using data insights for storytelling.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
azurecorejobs
Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .
