Jobs / United States / Intel Corporation
Data Science and Analytics - PhD Intern
Intel Corporation · 🇺🇸 US, Oregon, Hillsboro
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Intel Corporation paid sponsored hires in similar roles33 certified filings for “Data Scientist” (Statisticians) in OR: $130k–$130k, median $130k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Intel Corporation
The US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intel Corporation →
About the role
Job Details: Job Description: The Role and Impact 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. Qualifications: 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. Take this exciting opportunity to kick-start your career in data science and analytics while contributing to Intel's cutting-edge work in technology and innovation. Apply today and take the first step toward shaping the future of data-driven solutions. 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, se