Data Scientist

Intel
Santa Clara, CA 95050
  • Job Code
    JR0198054
  • Jobs Rated
    1st
Job Description

As a Data Scientist you will be using predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured 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.
  • Assists business with casual inferences & observations with finding patterns , relationships in data. Must possess strong understanding of internal business segment (stakeholders) and possess strong written and communication skills.
  • Typically requires expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies (i.e. Hadoop , HBase, Lucene/Solr), analytics packages (i.e. R, Mahout, Matlab, Octave, Weka), scripting languages (i.e. Python, Perl), programing languages (i.e. Java, C/C++, SQL).
  • Typically possesses advanced degree in Computer Science, Mathematics, Machine Learning, Operation Research, and Statistics or equivalent expertise.


Qualifications

Minimum Qualifications:

Bachelors Degree in Computer Science , Data Science or related STEM Degree 0-3+ years of industry experience
or Masters Degree in Computer Science , Data Science or related STEM Degree with 0-2+ years of Industry experience,

1+ years of experience with one or more the following: (Education, Projects and coursework can included)

  • Querying databases and using statistical computer languages: R, or Python, or similar
  • Web services: To include Redshift, or S3, or DPL, or Sagemaker, or Azure Analytics, or similar
  • Visualizing data for stakeholders with one of more of the following: PowerBI, Tableau, D3, or similar

Preferred Qualifications: 1+ years of Web Services experience

  • 1+ year of experience creating and using advanced machine learning algorithms and statistics: regression, modeling, clustering, decision trees, neural networks, etc.

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to continue to advance PC experiences to deliver the real-world performance people demand. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.



Other Locations

US, California, Folsom;US, Oregon, Hillsboro;US, Washington, Multiple Cities


Intel Corporation will require all new U.S. employees to be fully-vaccinated for Covid-19 as a condition of hire unless they have an approved accommodation in place under applicable law. Newly-hired employees will be required to provide proof of vaccination prior to their start date.



Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

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Data Scientist

Intel
Santa Clara, CA 95050

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Data Scientist
1st2019 - Data Scientist
Overall Rating: 1/199
Median Salary: $114,520

Work Environment
Very Good
4/220
Stress
Very Low
42/220
Growth
Very Good
33/220