Data Scientist - Azure Compute Analytics

Microsoft Corporation Atlanta , GA 30301

Posted 2 months ago

Cloud Computing is one of the most important initiatives for Microsoft. It is a highly competitive & rapidly growing market and we aim to provide the best platform and services.

The Azure Compute Analytics and Insights team is a growing Agile team tasked with turning our incredibly rich and Big data into strategic assets that will drive business and engineering goals and efforts. Our vision is to utilize artificial intelligence and machine learning techniques to build, manage, and operate Azure effectively and efficiently, to address the challenges caused by the ever increasing scale and complexity of Azure, and the ever increasing customer base and workload diversity.

As a member of our team, you will work broadly with our engineers, program managers, and support engineers in the organization, to formulate the business problems as data science and analytics problems, build prototypes, end-to-end analytics solutions. The value of your work will be reflected as improvements to the Azure platform, Azure service quality assurance, customer satisfaction, engineering productivity transformation, and COGS reduction. Our team is a balanced team of data science and development skills. If you dream of being able to use data science/applied statistical techniques like: anomaly detection, machine learning, expert systems and/or experimentation, then you should talk to us. If you have the drive to help to implement it and see it productized, then you really should talk to us. We are not one of those teams that just builds reports with brilliant insights that no one uses. We are here to deliver world class innovation.

  • 1+ year of coding experience in data technologies like: Python, PERL, Java, C#, etc.
  • 2+ years of experience using Data, Machine Learning (ML), or Artificial Intelligence (AI) to impact critical product or business decisions

Preferred Qualificaitons:

  • A proven track record of collaborating across organizational boundaries and delivering great results

  • Ability to collaborate across organizational boundaries and delivering great results

  • Familiarity with software development, database design, and online service development

  • A Masters or higher degree in Computer Science, Machine Learning, Analytics, Statistics, Math, Economics, Business or other scientific or quant-focused field

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.

#AzureCompute #MicrosoftATL

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.

  • Design new tools and processes to enable better data modeling, analysis, and experimentation

  • Employ machine learning to detect and correlate problems

  • Build models, simulation, scalable and automated analytical systems

  • Drive improvements to the product design and architecture, leading to increased customer satisfaction

  • Collaborate with experts from across the company to advance data science best practices

  • Learn how to build and sustain engagement from all levels of an organization

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