Data Scientist

  • Hewlett Packard Enterprise
  • San Jose, CA
  • Dec 10, 2021
Full time Computer Science Technology

Job Description

Job Description

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.

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 compute, 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. 

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. We have an exciting opportunity for a Data Scientist to join our team.

Sounds like you? Then we have the right opportunity for you!

How You'll Make Your Mark:

  • Formulates and defines analytics solution objectives and technical requirements based on user needs, an understanding of business processes, industry requirements, and advanced analytic models.

  • Conceptualizes, builds, develops and enhances a client's analytic model.  Selects the relevant analytic modeling methodology for the use case, available structured and unstructured data, cost and timing constraints to solve the business issue and deliver clear business focused insights.

  • Embeds analytic models in an enhanced business process of operational system by collaborating with Application Developers. Responsible for measuring business performance based on the model.

  • As a fully functioning analytics team member, applies best practices to analytics solutions and contributes to the development of improved best practices. Leads the model enhancements.

  • Summarizes complex ideas by developing visual models to display insights to simplify user experience.  

  • Communicate the analytics solution to the appropriate stakeholders.

About you:

  • BS, MS or PhD degree in Computer Science, Statistics, Physical Sciences or equivalent preferred.

  • Advanced knowledge of advanced data science methodologies.

  • Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.

  • Advanced understanding of analytics frameworks in Python.

  • Advanced understanding of analytics deployment architectures.

  • Advanced machine learning, data integration, and mathematical modeling skills and ETL tools.

  • Advanced communication and presentation skills.

  • Strong interpersonal skills and effectiveness in working across geographical boundaries.

  • Working knowledge of Python languages.  Working knowledge of Hadoop framework desired.

  • Advanced knowledge of data visualization techniques and software tools.

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 world´s 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

Then let’s stay connected!

Find out more about us and follow us on:

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 #ArubaUS #Diversity


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