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Internship R Programming Language Jobs in Portland, OR

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Nike.com/Careers (Job# R-84908) #LI-DNI We offer a number of accommodations to complete our ... sign language interpreters, accessible and single location for in-person interviews, closed ...

Nike.com/Careers (Job # R-82625) #LI-DNI We offer a number of accommodations to complete our ... sign language interpreters, accessible and single location for in-person interviews, closed ...

Software Engineer 3

Hillsboro, OR · On-site

$115K - $197K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Strong programming expertise in C++ and/or C# * Experience with multithreading and multiprocessing ...

Software Engineer 3

Hillsboro, OR · On-site

$115K - $197K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Strong programming expertise in C++ and/or C# * Experience with multithreading and multiprocessing ...

Software Engineer 3

Hillsboro, OR · On-site

$115K - $197K/yr

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Strong programming expertise in C++ and/or C# * Experience with multithreading and multiprocessing ...

KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

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Internship R Programming Language information

See Portland, OR salary details

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How much do internship r programming language jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for internship r programming language in Portland, OR is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $20.38 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are the most commonly searched types of R Programming Language jobs in Portland, OR? The most popular types of R Programming Language jobs in Portland, OR are:
What are popular job titles related to Internship R Programming Language jobs in Portland, OR? For Internship R Programming Language jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Portland, OR look for? The top searched job categories for Internship R Programming Language jobs in Portland, OR are:
Senior Software Engineer

Senior Software Engineer

Nike

Beaverton, OR • On-site

$127K - $168K/yr

Full-time

Re-posted yesterday


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

Senior Software Engineer- NIKE, Inc.- Beaverton, OR. Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable solutions, clean, prepare and verify the integrity of data for analysis and model creation; track model accuracy, performance, relevance, and reliability; apply a variety of machine learning and collaborative filtering methods to data sets; aid in building APIs and software libraries that support adoption of models in production; leverage prior experience, knowledge of industry trends, and personal creativity to develop new and innovative solutions which delight our customers in their mission to serve Athletes; stay ahead of with industry trends and recommend relevant technologies & products in the areas of Analytics, Machine Learning, Artificial Intelligence, and Data Science tools and other emerging technologies; embrace and embody Nike's core values (Maxims) in work and interactions with peers and stakeholders; communicate effectively, building trust and strong relationships across the company. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Must have a Master's degree in Software Engineering, Computer Engineering, and Computer Science and 2 years of experience in the job offered or in a engineering- related occupation.
Position requires:
• Distributed Systems
• CI/CD Pipelines
• Machine Learning Pipelines
• Cloud Platforms (Azure, AWS, GCP)
• API Development
• Model development and Training
• Databricks
• Apache Spark
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Lakehouse architecture
• Large-Scale Data Preprocessing
• Programming (Python, SQL, C++)
• LLM Models (Generative AI, RAG)
• Data Governance
Apply at www.Nike.com/Careers (Job# R-84908)
#LI-DNI
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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