Junior Data Scientist Intern

Job Details:

Job Description: 

• The Data Analytics (DA) Team within the External Manufacturing Production (EMP) Department requires a Junior Data Science Intern to support the Global External Manufacturing (GEMS) Organization.
• This role is vital for providing advanced analytics including AI/ML and data solutions to enhance yield learning and operational efficiency.
• The ideal candidate will be curious, motivated, and passionate about data science and operation, with a strong interest in delivering analytics and data-driven solutions within the semiconductor domain.
• Key responsibilities include collaborating within a global organization, developing Python applications with ML capabilities, SQL queries and performing experiments in new data domains, supporting Intel engineers' quarterly objectives, and contributing to data science application in yield improvement and power performance analysis.
• The candidate should exhibit strong communication skills, self-motivation, responsibility, curiosity, a passion for data-driven decision-making, and a desire to drive innovation and process improvements.
• This position is essential for the DA Team to continue providing high-quality data solutions, driving innovation, and enhancing operational efficiency, making it a valuable investment for the EMP Department.
• This is a 1-year internship opportunities

Qualifications:

Minimum Qualifications:

• Bachelor's in Data Engineering, Data Science, Computer Science, Mathematics, Machine Learning, Statistics or any related data management domains
• Must have experience with Python and SQL
• This position is not eligible for Intel immigration sponsorship
• Good communication and understanding in English
• Good Teamwork and interpersonal skill

Prefer to have:

• Exposure in project or research in data analysis or data management
• Experience in software development
• Experience in Plotly/Dash for data visualization
• Experience in SCRUM or other Agile software development methodologies

 

          

Job Type:

Student / Intern

Shift:

Shift 1 (Taiwan)

Primary Location: 

Taiwan, Hsinchu

Additional Locations:

Malaysia, Penang, Singapore, Multiple Cities

Business group:

Intel's Global External Manufacturing & Sourcing (GEMS) organization plays a pivotal role in Intel's IDM 2.0 strategy, driving Manufacturing, Innovation, and Product Leadership to new heights. We are on a mission to strengthen our partnerships with third-party foundries, which currently produce a diverse array of Intel technologies, spanning communications, connectivity, graphics, and chipsets. As we embark on this exciting journey, we anticipate a significant expansion in Intel's collaboration with third-party foundries. This expansion will encompass the manufacturing of a variety of modular tiles on cutting-edge process technologies, including products that lie at the heart of Intel's computing solutions for both client and data center segments. At GEMS, our dedicated team of engineers, supply chain experts, and manufacturing professionals are committed to delivering the increased flexibility and scalability required to finely tune Intel's roadmaps. We focus on optimizing cost, performance, schedule, and supply, providing Intel with a distinct competitive edge in the industry. Join us at Intel's GEMS organization and be part of a team that's at the forefront of driving innovation and excellence in external manufacturing. Together, we will shape the future of technology and contribute to Intel's global leadership in the semiconductor industry. Your expertise and passion can make a significant impact in this dynamic and rapidly evolving landscape.

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.

Position of Trust

N/A

Work Model for this Role

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. * Job posting details (such as work model, location or time type) are subject to change.