PhD Data Science & Analytics Intern (On‑Site)

Intel Corporation

Hillsboro (OR)

On-site

USD 137,000 - 138,000

Full time

10 days ago

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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

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.

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