The Data Scientist will be responsible for, but not limited to:
Using predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data.
Developing 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.
Assisting business with casual inferences & observations with finding patterns, relationships in data.
Apply in their work 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).
The ideal candidate should exhibit the following behavioral traits:
Understanding of internal business segment (stakeholders) and possess strong written and communication skills.
This is an entry level position and will be compensated accordingly.
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. Relevant experience can be obtained through schoolwork, classes and project work, internships, military training, and/or work experience.
Candidate must possess a Master's degree in field related to Statistics, Mathematics, or Computer Science and 2+ years of work experience; or have 4+ years of work experience in the same fields.
Coursework or 2+ years of experience with statistical methodology, and machine learning or data mining, advanced , probability theory, linear models.
Coursework or 2+ years of experience with computer programming for one of the following: SAS, JMP, JSL, R, or Python.
Experience teaching statistics in work setting, or at university level as instructor or teaching assistant.
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 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
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.