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Data Scientist

Company: Hewlett Packard Enterprise
Location: Santa Clara
Posted on: June 8, 2021

Job Description:

At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world.

We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act.

Our legacy inspires us as we forge ahead, always pushing to discover what's next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of life.

What you need to know about the job

Job ID: 1078997 Date Posted: 2/10/2021 Primary Location: Santa Clara, California Job Category: Engineering Schedule: Full time Shift: No shift premium (United States of America)

Aruba:

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.

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.

The data science team in Aruba's cloud software division develops and delivers ML/AI modules for all of Aruba's cloud-based software products (especially ClearPass, AI Insights). We have an exciting opportunity for a Data Scientist to join our team.

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 Electrical Engineering, Computer Science, Applied Statistics, or another quantitative field
  • Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, deep learning
  • Great at communicating concepts and results; strong data visualization skills
  • Expert Python coder (PySpark, Scikit-learn); experience with software engineering best practice

Additional preferred skills

  • Relevant industry experience in data science, machine learning
  • Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
  • Familiarity with wireless and wired networking protocols
  • Proficiency in big data computing infrastructure (Kubernetes / Hadoop ecosystem)

What We Can Offer You:

Extensive benefits, a competitive salary and participation in the shared values and purpose that make Hewlett Packard Enterprise one of the worlds most attractive employers! At HPE, our goal is to provide equal opportunities, flexible work-life balance, and constantly evolving career growth.

If you are looking for challenges in an exciting, supportive and international work environment, then we definitely want to hear from you. Continue the conversation by clicking apply now below, or directly via our Careers Portal at www.hpe.com/careers.

Join us and make your mark!

Find out more about us and follow us on:

https://www.facebook.com/HPECareers

https://twitter.com/HPE_Careers

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

#aruba #arubanetworks

1078997

HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status

Keywords: Hewlett Packard Enterprise, Santa Clara , Data Scientist, Other , Santa Clara, California

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