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Data & Applied Scientist

2.00 to 3.00 Years   Hyderabad   02 Feb, 2021
Microsoft
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics,DBA / Datawarehousing
EmploymentTypeFull-time

Job Description

Azure Capacity Supply Chain and Provisioning is looking for a highly motivated senior level data scientist to help Capacity Supply Chain & Provisioning (CSCP) Organization at Microsoft to predict, optimize and build the future of cloud computing. You will operate as part of a well-established data science team responsible for managing data and feature engineering to support multivariate data science models library and maintaining/updating data and features in productionfor demand forecasting purposes. Your contributions will enable data science practice to develop multivariate models and put them in production to support demand and capacity planning for Microsoft s vast and rapidly growing cloud business. You will interact closely with fellow data scientists, PMs, and engineers.The mission of CSCP is to deliver capacity for all cloud services through intelligent systems. The organization is responsible for strategy and delivery of the foundational platform for all Microsoft online services including Azure demand and capacity forecasting, supply chain, data centers, networking, bandwidth, operations, and incident management. CSCP supports over 200 online businesses including the entirety of Azure Cloud, Bing, O365, OneDrive, Xbox and Windows Azure branded services.As a data scientist, your responsibilities will be to:

  • Work with the data scientists and engineers to manage data and feature engineering in support of data science models in production.
  • Test, cleanse, deploy, maintaindata in production in support of running forecasting algorithms.
  • Contribute to the development of our Data Science Machine Learning (DSML) Platform by managing multivariate data in the platform.
  • Research, develop and deploy deep features from multiple sources of data for continuous improvement of our forecasts.
, Qualifications:
  • B.Sc. or M.Sc.in Computer Science or Engineering, Statistics, Applied Mathematics, Operations Research, or similar applied quantitative field.
  • 5+ years of industry experience in developing production-grade statistical and machine learning code in a team environment (experience in agile process is a plus).
  • Well versed in coding indata management tools such as SQL, Cosmos, etc.
  • Experience in Rand Python in distributed computing environment.
  • Knowledge and ability to work within a large-scale computing context, and hands-on experience with Hadoop, Spark, DataBricks or similar.
  • Excellent interpersonal and communication (verbal and written) skills.
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. 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.

Keyskills :
supply chainpmsagile processsparkonline servicesdata sciencevastcloudmachine learningoperations researchcscpsqlagilecontinuous improvementwindows azureapplied mathematicscare

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