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Internship R Programming Language Jobs in Toledo, OH

Magna

CMM Technician

Northwood, OH · On-site

s may display in multiple languages based on your language selection. What we offer: At Magna, you ... CMM Programming and Operation Awareness, Unity, Empowerment: At Magna, we believe that a diverse ...

Magna

CMM Technician

Northwood, OH · On-site

s may display in multiple languagesbased on your language selection. What we offer: At Magna, you ... CMM Programming and Operation Awareness, Unity, Empowerment: At Magna, we believe that a diverse ...

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All JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Toledo, OH

Internship R Programming Language information

See Toledo, OH salary details

$8

$17

$23

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

As of Jun 18, 2026, the average hourly pay for internship r programming language in Toledo, OH is $17.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.94 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

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 jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

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.
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Internship R Programming Language jobs near you

Lead Forecasting Engineer

Tech Group International

Toledo, OH

$100K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

Technology Group International (TGI) is looking for an experienced data scientist with software development experience to join our development team. Your primary responsibility will be to lead the development of forecasting and statistical models for our enterprise application for manufacturers and distributors. You will work closely with the software, analytics, and decision systems listed in "Duties and Responsibilities." As Lead Forecasting Engineer, you will have a wealth of opportunities to contribute to the development of our enterprise application and play an integral role in the future direction of our technology stack.


Duties and Responsibilities:

  • Lead the development of various forecasting algorithms for our enterprise application
  • Generate statistical models for our enterprise application's analytics / business intelligence (BI) offering
  • Optimize and improve our enterprise application's existing analytics offering
  • Optimize and improve our enterprise application's existing forecasting and material requirements planning (MRP) system
  • Integrate new forecasting algorithms to be used throughout our software

Skills and Specifications:

  • Experience in writing SQL queries against a relational database
  • Experience in Python, R, or other Statistical Language
  • Experience with algorithms such as clustering, forecasting, anomaly detection, and neural networks
  • Experience in version control systems (preferably Git)
  • Familiarity with basic statistics and regression algorithms (Experience with Microsoft Linear Regression in SQL Server is a plus)
  • Familiarity with C# and ASP.Net is a plus
  • Familiarity with front-end technologies and frameworks such as HTML, CCS, and JavaScript

Education and Qualifications:

  • 2 - 5 years of relevant work experience
  • BS, MS, or PhD degrees in Data Science, Computer Science, Statistics, or Engineering
  • Must be a U.S. citizen
  • Written and oral communication in English required

Competitive Benefits Package:

  • Competitive compensation will be based on relevant work background
  • Health Insurance and company paid health care spending account
    401(k)
  • Holiday, personal, and vacation paid time off

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