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Software Engineer (Data Science)

4.00 to 6.00 Years   Bangalore   24 Sep, 2021
Hewlett-Packard India Pvt Ltd
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Aruba, a Hewlett Packard Enterprise Company, is a leading provider of next-generation network access solutions for the mobile enterprise: http://www.arubanetworks.com/company/about-us. Aruba is redefining the Intelligent Edge Aruba is creating new customer experiences by building intelligent spaces and digital workspaces - leading next-generation network access solutions for the mobile enterprise. We are focused on campus, branch, mobility, and the IoT to transform businesses with the combined power of computing, context, control, and secure connectivity. We help some of the largest and most exciting companies globally to modernize their networks to meet the demands of a digital future.Hewlett Packard Enterprise (HPE) advances the way people live and work. We bring together curious minds to create breakthrough technology solutions, helping our customers make their mark on the world.What Youll Do

  • Work with experienced data scientists and domain experts to apply machine learning algorithms to wireless and wired network data
  • Take ownership of existing AI Insight modules in Aruba Central and evolve them according to customer needs
  • Validate telemetry data from customer networks and find relevant structure that reveals insights
  • Scale machine learning code to run reliably in worldwide production environments
  • Monitor deployed machine learning modules
Our Minimum Requirements for this role are
  • Bachelor s degree in Computer Science, or another data-oriented discipline
  • Two to four years industry experience as software engineer, data engineer, or data scientist
  • Expert python coder
  • Fluent user of Apache Spark
  • Working knowledge of data structures (array, maps, trees, stacks, queues) and algorithms (recursion, dynamic programming, backtracking)
  • Working knowledge of machine learning algorithms (linear regression, decision trees, random forests, clustering, anomaly detection)
  • Descriptive statistics (central tendency, variability, distribution)
  • Clear technical communication
  • Ability and willingness to learn quickly
Additional preferred skills
  • Familiar with NoSQL databases, preferably Cassandra
  • Familiar with Kubernetes, Docker, Git, Maven
  • Statistical inference (hypothesis testing, estimation with confidence intervals, Bayesian inference)
#Aruba1100023This role has been designated as Edge , which means you will primarily work outside of an HPE officeHPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status,

Keyskills :
technology solutionssqltreesjavascriptdata structuresgitiotcomputer scienceedgemachine learningdecision treesjquerysql serverjavamapsdynamic programmingnosqlnextgeneration network

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