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Data Scientist Entry Level

Intel


Location:
Hillsboro, OR
Date:
09/18/2017
2017-09-182017-10-17
Job Code:
JR0035798
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Job Details

Data Scientist Entry Level Careers at Intel in Hillsboro, OR
   
Job ID: JR0035798
Job Category: Engineering Support
Primary Location: Hillsboro, OR US
Other Locations: US, Arizona, Phoenix; US, California, Folsom; US, Massachusetts, Multiple Cities; US, California, San Diego; US, California, Los Angeles; US, California, San Jose; US, Texas, Austin;
Job Type: College Grad

Data Scientist Entry Level

Job Description

Data Scientists influence how Intel does business, one data-driven decision at a time! In this role, you may assist business units with casual inferences and observations with finding patterns, relationships in data, develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy, inform, influence, support, and execute business decisions and product design, analyze and explore data to help discover hidden business insights in the data. It may also involve development of complex queries using stored procedures and similar methods, as well as design, develop, and implement high performance and easy-to-use data visualization functionality, and automation scripts.

Ours is a culture of innovation and diversity, where everyone is given a place in the conversation based on the merits of their technical argument. If you are looking for a place to make a real impact and begin a fruitful career, this is the place for you.

An ideal candidate would exhibit behavioral traits that indicate:

  • strong analytical mind with problem solving skills
  • ability to work independently and manage stakeholders
  • ability to deal with ambiguity in defining activities and direction
  • passion for the job
  • high motivation with a strong work ethic
  • good planning skills
  • excellent written and verbal communication skills

You must meet the qualifications to be considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work, class course work, research, relevant previous job and/or internship experiences. Upon applying for this opportunity, you will also be considered for other similar opportunities available.



Qualifications

Degree in Computer Science, Electrical Engineering or any related fields (i.e. Statistics, applied Mathematics, Computational Neuroscience

Experience with:

  • machine learning and statistical approaches, and experience applying them
  • deep learning, machine learning and/or big data
  • program languages such as Python, Perl, Java, and/or C++
  • designing professional software using Python/C++

Inside this Business Group

Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.



Other Locations
US, Arizona, Phoenix; US, California, Folsom; US, Massachusetts, Multiple Cities; US, California, San Diego; US, California, Los Angeles; US, California, San Jose; US, Texas, Austin;


Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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