Data Analytics - Smart Machine Systems Intern

Hewlett-Packard

This position is a pipeline posting meant to provide applicants for several internship openings during the summer of 2018. Qualified candidates will be contacted directly for further employment conversations.

The HP Internship Program is ranked among the top 25 in the world by Glassdoor.  Beyond the assigned project, summer intern activities include a technical site tours, executive events, community service opportunities, a project fair, as well as numerous social and professional networking opportunities.   

At HP, we don't just dream about the future, we invent it.

Job description

Data Analytics Internships are a new area in our various labs.   Hired candidates will develop and deliver solutions that enable proactive, accurate, timely, and efficient data analytic capabilities.  This individual will also focus on qualification and testing efficiencies/effectiveness.

Depending on the specific team project definition and the intern’s degree focus, the intern’s work characteristics could include projects related to data analytics related to managed print service businesses or with respect to a product around smart machine learning.  

Qualifications:

Education

Working towards a Bachelor's (undergraduate) or Master's (graduate) degree in a technical discipline (e.g. data analytics, computer science, information technology, math)

Experience and knowledge (depends on discipline area):

  • For data analytic areas, beginning experience in XML, VB, HTML/DHTML, C#, and/or C++ in a PC Windows, Android and/or Macintosh environment.   Experience in database design and development as well as data relations.   Awareness of software lifecycles.   Some knowledge (development and application) in multiple operating systems.  
  • Exposure to engineering principles, methodologies, and procedures. Demonstrated experience in organizing and prioritizing multiple tasks/projects simultaneously.
  • Exposure to Data Intelligence systems / Artificial Intelligence systems.

Skills:

  • Exposure to design, development and implementation of solutions
  • Exposure to Solution Development Lifecycles, their associated processes and when to apply each (examples. Include Agile Development, XPlanning, traditional waterfall, etc.)
  • Exposure to Quality Assurance and testing methods
  • Ability to work effectively in diverse, foreign, and multi-cultural environments
  • Innovative and creative approach to solving problems ("Think outside of the box" mentality)
  • Solid English oral and written communication skills. 
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Confirmed 10 hours ago. Posted 30+ days ago.

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