Data Scientist

  • Aruba HPE,
  • Santa Clara, CA
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Aruba HPE
machine learning Statistics python alogrithms
Full Time, Perm
Market
Telecommuting not available Travel not required

Job Description


Aruba, a Hewlett Packard Enterprise Company, is a leading provider of next-generation networking solutions for the mobile enterprise: http://www.arubanetworks.com/company/about-us. We have an exciting opportunity for a Data Scientist to join our team.

 

Aruba designs and delivers Mobility-Defined Networks that empower IT departments and #GenMobile, a new generation of tech-savvy users who rely on their mobile devices for every aspect of work and personal communication. To create a mobility experience that #GenMobile and IT can rely upon, Aruba Mobility-Defined Networks™ automate infrastructure-wide performance optimization and trigger security actions that used to require manual IT intervention. The results are dramatically improved productivity and lower operational costs.

 

Aruba NetInsight is a cloud-based service that delivers actionable guidance for improving network performance and the quality of users’ mobile experience via continuous monitoring, analysis, and benchmarking. Using powerful machine learning algorithms and Aruba’s extensive wireless expertise, NetInsight provides IT organizations with the intelligence needed to proactively optimize how data, voice, and video applications perform across the entire network.

 

What You'll Do


  • Work with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization

  • Discover new problem signatures in customer networks

  • Design, implement, and validate machine learning algorithms on big data

  • Guide and oversee deployment of implemented machine learning solutions and monitor their operation




Our Minimum Requirements for this role are


  • M.S. or Ph.D. in Statistics, Computer Science, or another quantitative field

  • Strong background in statistical and machine learning techniques such as deep learning, anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing

  • Great at communicating concepts and results; strong data visualization skills

  • Expert coder in Python (PySpark, Scikit-learn); experienced with software engineering best practices


 

Additional preferred skills:


  • Experience with online learning algorithms

  • Familiarity with wireless and wired networking protocols

  • Proficiency in big data computing infrastructure (Hadoop ecosystem)




 

 

Benefits you’ll enjoy:

At Aruba, a Hewlett Packard Enterprise Company, we offer an exciting and fun work culture, driving innovation, collaboration, and growth. We place our customers first, deliver some of the most innovative technologies to the market, and have fun doing it all! Come join our team and be part of an exciting organization poised for success!

 

Thanks for taking the time to review our job, if you think it is a match to your experience and interests please apply today — we are eager to learn more about you!  We have dozens of openings, so encourage your friends to apply as well!

 

To apply: 

1)                   Log onto https://careers.arubanetworks.com/

2)                   In the keyword box, search for job number 1009906

3)                   After clicking on the  Data Scientist  link, click APPLY

4)                   Follow the simple steps to complete the application process

 

#ArubaNetworks #GenMobile #ArubaNetworksJobs #HPE #HewlettPackardEnterprise

 

Please note the above statements describe the general nature and level of work only. They are not a complete list of all required responsibilities, duties and skills. Other duties may be added, or this description amended at any time.

 

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Company Information

Hewlett Packard Enterprise is an industry-leading technology company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.
Dice Id : 10109419
Position Id : 1009906

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