Job description


  • Entry level
  • No Education
  • Salary to negotiate
  • Phoenix


ATTD is looking for a data scientist to join a team tasked with developing substrate, assembly and test technology development.

- The successful candidate will be a member of the ATTD Yield team responsible for tracking yield performance, defining yield road-map and leveraging the core functions within the Yield department and work effectively across organizational boundaries with Module, Integration, Operations and Automation partners to deliver to the ATTD Yield team vision and objectives.

-The candidate must be willing to quickly synthesize large volumes of data, apply statistical methods and draw meaningful conclusions to help direct the efforts of the ATTD organization.

-The successful candidate will independently drive recommendations in evolving the yield tracking and report-out methodology.

- Candidate must be willing to develop solutions to problems utilizing formal education, statistical knowledge, and problem-solving tools.

- The candidate should be self-directed and able to influence cross-functional teams.

- As ATTD is a startup environment, the candidate should have high tolerance of ambiguity and flexibility with respect to job roles and working hours.


You must possess the below minimum qualifications to be initially considered for this position. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship.

This is an entry level position and will be compensated accordingly.

Minimum Qualifications:

The ideal candidate must have a M.S in Industrial Engineering, Mechanical Engineering, Computer Science and Information Systems, Electrical Engineering or Chemistry/Physics.
Minimum of 1 year experience in engineering analysis tools, data analysis, machine learning and scripting methods in order to automate and train standard analytical tasks
Preferred Qualifications:

Minimum of 6 months of experience in Data systems and analytics, predictive modeling, machine learning, programming, yield tools, yield reporting and substrate/assembly processes.
Minimum 6 months of experience in program management/integration, yield, failure analysis, or test
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 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....

About the company

Intel is a place where employees can pursue their passions, support world-changing initiatives, and thrive intellectually.

Our employees are as diverse as our customers, vendors, and colleagues in the global market. This worldwide perspective helps us anticipate, and provide for, the growing needs of a changing marketplace. Here are a few examples:

The collaboration of Intel teams halfway across the world from each other was key to the development of our Intel® Centrino® processor technology.

The leaders of our Technology and Manufacturing Group use diversity to broaden team perspective on projects.

Our International Summit for Proliferating Ideas and Recognizing Excellence lets innovators from every country within Intel Corporate Services share ideas.

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