Intel Senior Data Analytics Engineer in Hillsboro, Oregon

Job Description

Uses 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.


Minimum Qualifications:

  • Masters in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience with 3+ years of experience, or BS in same fields with 7+ years of experience.

  • Experience with at least one Machine/Deep Learning framework.

  • Linux programming and debugging.

  • Experience working in R or python- Experience working with OO languages and templates.

Preferred Qualifications:

  • Academic experience with Machine Learning Data Mining algorithms during studies, related thesis is an advantage.

  • Practical experience with Machine Learning algorithms of 2-5 years.

  • Strong analytical skills and knowledge in statistics and data analysis.

  • Passion for solving intricate business problems using data science.

  • Proven experience in R/Python.

  • Proven experience in working in big data, Hadoop and Spark environment - advantage.

  • 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, programming languages i.e. Java, C/C++, SQL.

Inside this Business Group

Non-Volatile Solutions Memory Group: The Non-Volatile Memory Solutions Group is a worldwide organization that delivers NAND flash memory products for use in Solid State Drives (SSDs), portable memory storage devices, digital camera memory cards, and other devices. The group is responsible for NVM technology design and development, complete Solid State Drive (SSD) system hardware and firmware development, as well as wafer and SSD manufacturing.

Other Locations

US, New Mexico, Albuquerque

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....