Assembly Engineering Intern

Descripción del puesto:

Job Details:

Job Description:
The Role and Impact
Are you passionate about data, analytics, and solving complex problems? As a Data Science and Analytics Undergraduate Intern at Intel, you will play a vital role in contributing to projects that shape the future of technology. This is an exciting opportunity to gain hands-on experience in collecting, analyzing, and interpreting large datasets, uncovering patterns and insights, and supporting data-driven decision-making. You will collaborate with a team of data scientists, analysts, and engineers to deliver impactful solutions that drive Intel's innovation and business objectives. Your contributions will directly support Intel's mission of delivering world-changing technologies and improving user experiences across our platforms.

Key Responsibilities
- Assist in collecting, analyzing, and interpreting large datasets using statistical tools and programming techniques.
- Support the development of data models, dashboards, and visualizations that enhance decision-making and user experience.
- Collaborate with cross-functional teams to contribute to data-driven projects and storytelling.
- Apply data modeling techniques and methodologies to solve real-world business problems.
- Learn and implement best practices in using data analytics and mining tools to uncover trends and insights.
- Document technical workflows and findings to ensure clear communication across stakeholders.
- Participate in continuous learning and improvement opportunities while exploring career paths at Intel.

Qualifications:
Minimum Qualifications
- Currently pursuing a Bachelor's degree in Mechanical/Electrical/Chemical/Mechatronics Engineering, Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Foundational knowledge of statistical analysis, data modeling techniques, and methodologies.
- Proficiency in at least one programming language, such as Python, R, or SQL.
- Experience with data analytics and mining tools.
- Strong problem-solving skills and attention to detail.

Preferred Qualifications
- Familiarity with creating visualizations using tools like Python, C++. Tableau, Power BI, or similar platforms.
- Experience in technical documentation and presenting analytical findings.
- Eager to learn and explore opportunities for professional growth in a collaborative environment.
- Strong communication and teamwork skills to contribute effectively within cross-functional teams.

Join our team and be part of a collaborative community where your ideas and skills can make a difference. Apply now and take the first step toward building a rewarding career in data science and analytics at Intel.

Job Type:
Student / Intern

Shift:
Shift 1 (Malaysia)

Primary Location:
Malaysia, Kulim

Additional Locations:

Business group:
Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of 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.

Position of Trust
N/A

Work Model for this RoleThis role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter