Quality and Reliability Data Scientist
Employment Information
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 and 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.
The ideal candidate should exhibit the following behavioral traits:
- Problem-solving skills.
- Analytical skills.
- Works in a dynamic results and team oriented environment.
- Written and verbal communication skills
- Influence strategic thinking and leadership skills.
Qualifications
Minimum qualifications are required 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.
You must possess the below minimum qualifications to be initially considered for this position. Relevant experience can be obtained through school work, classes and project work, internships, military training, and/or work experience.
Minimum Qualifications:
- Candidate must possess a PhD in Electrical Engineering, Computer Engineering, Computer Science, Applied Physics, Physics, or related field.
- Minimum of 6 months of experience with Machine Learning development and data analysis techniques.
Preferred Qualifications:
- Technical expertise on design of experiment development, data collection, data analysis.
- Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Inside this Business Group
As the world’s largest chip manufacturer, Intel strives to make every facet of semiconductor manufacturing state-of-the-art – from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology Development and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore’s Law to bring smart, connected devices to every person on Earth.
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. Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
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