Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. 

Microsoft operates in 190 countries and is made up of more than 220,000 passionate employees worldwide.

Microsoft

Are you interested in working in an exciting cloud space where you build data-driven systems, you are a part of a supportive team where new ideas and innovation are highly encouraged, and your work is highly impactful to all of Microsoft Azure and enterprise services built on Azure? Then this position might be the right fit for you! Azure is Microsoft’s central cloud infrastructure hosting both our public cloud offerings as well as a vast number of Microsoft-internal cloud scale services. Cloud computing is a rapidly growing market, and it is Azure’s aim to be an industry leader in all relevant aspects and dimensions across its platform and services. Within Azure, the Azure Compute team is the core infrastructure team responsible for hosting VMs, containers, and other workloads.

One of the fundamental core disciplines in cloud computing is capacity management. 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 demands, 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. The Azure Compute Capacity and Efficiency (AC2E) team is the team in Azure Compute tasked with managing all aspects of capacity and efficiency management across the fleet. Our primary task is to provide a fully automated and highly optimized tracking and management system. This system – of which CMAS (Capacity Management Automation System) is a core piece – uses numerous state-of-the-art algorithms. We use artificial intelligence to automatically predict capacity risk and execute the correct mitigation actions directly into the Azure Compute platform.

As a Data Scientist II, the value of your work will be reflected as improvements to the Azure platform, Azure service capacity fulfillment rate, customer satisfaction, and various efficiency metrics, including COGS reduction. Our team is a balanced team of data science and development engineers, and we work very closely with our partners in the program management team. We heavily engage in using state-of-the-art data science/applied statistical techniques like anomaly detection, machine learning, and experimentation methodologies, and if you are interested in such techniques and their applications to highly complex real-world problems, you will fit right into our team. Collectively, we deliver world-class innovation.

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 expectations 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.OtherEmbody our Culture and Values
Qualifications

Required Qualifications: 

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related fieldOR 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 experienceOR 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.1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting 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.

Additional / 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)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.

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $98,300 - $193,200 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 $127,200 - $208,800 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 August 19, 2024.

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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.

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