Data Scientist

Intel
Folsom, CA 95630
  • Job Code
    JR0193451
  • Jobs Rated
    1st
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).


Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates


Minimum Qualifications:
Candidate must have a minimum Bachelor's degree in Computer Science, Mathematics, Machine Learning, Operation Research, Statistics or equivalent degree with 10+ years of experience - OR - a Master's degree in Computer Science, Mathematics, Machine Learning, Operation Research, Statistics or equivalent expertise with 7+ years of experience in:

  • Platform/product development (platforms SW and/or SOC) or product manufacturing

  • Experience includes  product development lifecycle methods or program management

  • Experience driving convergence of disparate data sets and business processes

Preferred experience includes:

  • Executive communication experience demonstrating the ability to communicate and simplify complex issues

  • Technical spec writing experience

  • Experience delivering high quality results in a fast paced environment with extreme attention to detail

  • Negotiation skills for win/win results

  • Data analysis of large data sets with complex interdependencies to identify trends and interpret results

  • Data Quality efforts, data governance, or large data set analytics

Inside this Business Group

In the Design Engineering Group (DEG), we take pride in developing the best-in-class SOCs, Cores, and IPs that power Intels products. From development, to integration, validation, and manufacturing readiness, our mission is to deliver leadership products through the pursuit of Moores Law and groundbreaking innovations.  DEG is Intels engineering group, supplying silicon to business units as well as other engineering teams.  As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost efficient and effective manner.



Other Locations

US, Arizona, Phoenix;US, Oregon, Hillsboro;US, Texas, Austin


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
Folsom, CA 95630

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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