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Senior Data Scientist

Company: Microsoft Corporation
Location: Redmond
Posted on: June 8, 2021

Job Description:

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 highly competitive and 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 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 and challenging 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. As a Data Scientist in the Azure Compute Capacity and Efficiency (AC2E) team, you will work closely with our engineers, program managers, and data scientists across the different platform teams within Azure Compute as well as our partners in the Capacity Management/Planning. 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.

  • MS or higher degree in Computer Science, Mathematics, STEM or Engineering-related field with strong emphasis on data analytics
  • 5+ years of experience in one of the programming language - Python, C/C++, C# or Java
  • 3+ years of experience in Data mining and qualitative analytics
  • Curious mind and willingness to learn new technologies
  • Ability to synthesize complex problems into easy-to-understand concepts
  • Demonstrated analytical ability; problem deconstruction, statistical competency, meticulous forensic analysis skills, data validation, and scientific rigor
  • Fluency in a range of statistical data analysis and visualization techniques
  • Excellent verbal and written communication skills
  • Demonstrated ability to effectively engage, collaborate, and consult with stakeholders, including effective prioritization, clear communication, and delivery of actionable data-derived insights
  • Experience in Machine Learning is a plus

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.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Your responsibilities include but are not limited to:

  • Domain knowledge understanding
  • Data Engineering, data insights generation and analytics
  • Feature engineering, ML model creation and experimentation
  • Integrating analytics intelligence, ML capabilities into the Azure platform
  • Collaborate with Microsoft Researchers on strategic projects
  • Author technical papers and/or presentations, and publish them internally and externally

Keywords: Microsoft Corporation, Redmond , Senior Data Scientist, Other , Redmond, Washington

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