Data Science and Analytics - PhD Intern

Intel Corporation; Hillsboro (OR); On-site; USD 137,000 - 138,000; Full time

Benefits offered by this job

Stock bonuses

Health insurance

Job summary

Intel Foundry is seeking a Data Science and Analytics Graduate Intern in Hillsboro, Oregon to analyze large datasets, build data models, dashboards, and visualizations, and collaborate with cross-functional teams on data-driven solutions.

You will gain hands-on experience through projects that prepare you for a career in data science and analytics, with on-site work and exposure to semiconductor data patterns.

Qualifications

• Pursuing a PhD in data science, computer science, statistics, EE, physics, material science, or a semiconductor-related field with 0–1 years of hands-on data analytics or programming.
• Minimum of 6 months experience in semiconductor materials, fabrication, device physics, or electrical characterization; exposure to data analysis methods.

Responsibilities

• Collect, analyze, and interpret large datasets to uncover patterns and actionable insights.
• Assist in building predictive models, dashboards, and visualizations to support business objectives.
• Collaborate with data scientists, analysts, and engineers on data-driven projects.
• Apply statistical techniques and programming skills to support decision-making processes.
• Participate in hands-on learning opportunities to gain real-world experience.

Skills

Data analytics

Programming

Python

SQL

Statistical methods

Education

PhD candidate in relevant field

Tools

JMP

MATLAB

Octave

JSL

Perl

TCL

Python

SQL

C/C++

Job description

Join Intel as a Data Science and Analytics Graduate Intern, where you'll dive into analyzing large datasets to uncover meaningful insights that drive business decisions and enhance user experiences across Intel's platforms. In this role, you will contribute to building data models, dashboards, and visualizations while collaborating with cross‑functional teams to deliver impactful, data‑driven solutions. Through hands‑on projects, you'll gain valuable knowledge and practical skills that will prepare you for future career opportunities in data science and analytics.

Business group Intel Foundry is at the forefront of innovation, delivering cutting‑edge solutions that enable Intel's success in the competitive semiconductor industry. Within Intel Foundry, the LTD Device PDK and Product team works to optimize products and processes by leveraging advanced technology, analytics, and data‑driven approaches. This organization plays a key role in supporting Intel's broader mission to shape the future of computing and engineering through collaboration, innovation, and teamwork.

Key Responsibilities

• Collect, analyze, and interpret large datasets to uncover patterns, trends, and actionable insights.
• Assist in building predictive models, dashboards, and visualizations that support business objectives and improve user experience.
• Collaborate with data scientists, analysts, and engineers to contribute to data‑driven projects and solutions.
• Apply statistical techniques and programming skills to support storytelling and decision‑making processes.
• Participate in hands‑on learning opportunities, gaining real‑world experience relevant to Intel's business goals.

Minimum Qualifications

• Pursuing a PhD degree in a relevant field, such as data science, computer science, statistics, Electrical Engineering, Physics, Material Science, Computer Science or scientific field of study directly related to Semiconductor with 0-1 years of hands‑on experience in data analytics or programming, demonstrated through internships, academic projects, coursework, or hands‑on training.
• Minimum of 6 months of experience in one or more of the following:
• Semiconductor materials, fabrication, and device physics
• Electrical characterization of Semiconductor Devices (transistor, diode, etc.)
• Familiarity with statistical methods and techniques used for data analysis.

Preferred Qualifications

• Advanced Transistor Device Structures and Device Physics.
• Process monitoring Test structures design and layout experience.
• Device and circuit simulation.
• Statistical Process Control (SPC) or Design of Experiments (DOE) principles and engineering analysis tools experience.
• Expertise in database structures, research methods, analytics packages (i.e., JMP, MATLAB, Octave), scripting languages (i.e., JSL, Perl, TCL), or programming languages (i.e., Python, SQL, C/C++).
• Expertise in agentic AI and orchestrated LLM workflows, machine learning, deep learning, Retrieval-Augmented Generation (RAG), knowledge engineering, and dataflow pipeline architectures.
• Strong communication and collaboration skills to work effectively in a team environment.

Job Type

Student / Intern Shift: Shift 1 (United States of America) Primary Location: US, Oregon, Hillsboro Additional Locations:

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

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Annual Salary Range for jobs which could be performed in the US: $136,998.00-137,002.00 USD

Work Model for this Role

This role will require an on‑site presence.

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

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.

Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.