Logic Technology Development (LTD) Smart Manufacturing Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Machine learning techniques, Data science techniques, Deep Learning, Keras software library, MATLAB Programming, PyTorch, TensorFlow, OpenCV, VR/AR frameworks

Job Description

The COMPASS Smart Manufacturing team at Intel Logic Technology Development (LTD) is seeking a talented Data Scientist who is passionate about transforming data into smart manufacturing decisions. As a member of this team, you will have the opportunity to apply your skills in mathematics, statistics, machine learning, and programming to the forefront of Intel's semiconductor manufacturing and make a direct impact on how transistors are made for the world. Together, we will drive cutting-edge autonomous process control, advanced process analytics, and smart factory operations.

Job responsibilities will include but will not be limited to:

• Be a champion in developing advanced mathematical/statistical methodologies to analyze and extract insights from big manufacturing data.
• Explore and develop novel machine learning/deep learning and algorithm solutions in different data domains (e.g., time series, images, texts) for intelligent process control and monitoring.
• Create powerful engineering analytics tools/platform in close collaboration with software, data, and process engineers.

Candidate should exhibit the following behavioral traits/skills:

• Be a risk-taking self-starter.
• Ability to creatively solve complex problems and generate new solutions.
• Work independently and within a team, and collaborate across group boundaries.
• Strong verbal and written communication skills.

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 Requirements:

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

• PhD degree in Statistics, Mathematics, Data Science, Computer Science, Physics, Industrial Engineering, or a related field.
• 4+ years' experience with data analysis using mathematical and statistical approaches
• 2+ years' experience with Machine Learning or Deep Learning modeling
• 2+ years' experience programming in Python

Preferred Qualifications:

• Advanced programming skills in Python, R, and SQL.
• Coding experience with MATLAB, OpenCV, and C/C++.
• Proficiency in developing models using Machine Learning frameworks (e.g., Pytorch, TensorFlow, Keras).
• Familiarity with semiconductor manufacturing.

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.

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

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.