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Internship R Programming Language Jobs in Santa Monica, CA

Knowledge of C or C++ programming language is a plus. * Ability to fulfill a one quarter or semester internship commitment, 40 hours per week * Eligibility Requirement: This position may require ...

Knowledge of C or C++ programming language is a plus. * Ability to fulfill a one quarter or semester internship commitment, 40 hours per week * Eligibility Requirement: This position may require ...

AI Engineer

Pasadena, CA · On-site

$110K - $150K/yr

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

Proficiency in at least one programming language such as Python, PySpark, R, or SQL. * Experience delivering Generative AI (LLM) solutions, preferably on Azure. * Familiarity with Azure AI library ...

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Internship R Programming Language information

See Santa Monica, CA salary details

$10

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$26

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

As of Jun 1, 2026, the average hourly pay for internship r programming language in Santa Monica, CA is $19.43, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.59 per hour, depending on experience, location, and employer.

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 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 job categories do people searching Internship R Programming Language jobs in Santa Monica, CA look for? The top searched job categories for Internship R Programming Language jobs in Santa Monica, CA are:
What cities near Santa Monica, CA are hiring for Internship R Programming Language jobs? Cities near Santa Monica, CA with the most Internship R Programming Language job openings:
Fluids Analyst II, Combustion Devices

Fluids Analyst II, Combustion Devices

Relativity Space

Long Beach, CA

Other

Posted 3 days ago


Job description

About the Team: 

The Propulsion team at Relativity is focused on developing and delivering highly performant and manufacturable engines for Terran R. Engineers are responsible for the entire lifecycle of their parts, from initial design through production to qualification and flight. The team fosters a culture of bottoms-up decision-making, free from technical gatekeeping, where ownership and accountability are key at all levels. But designing engines with a quarter million pounds of thrust is just the beginning. As the flight configuration enters qualification, the team is now exploring modifications for future engines, including thrust upgrades, new cycles, and design for mass production.

About the role: 

  • Contribute to design and qualification of combustion devices hardware (injectors, thrust chamber, heat exchangers, igniters) through Computational Fluid Dynamics Analysis
  • Review test and flight data as necessary to evaluate and anchor models
  • Interface with hardware designers and utilize thermofluid expertise to influence design decisions
  • Develop and recommend analysis approaches that may decrease design iteration time
  • A strong commitment to accountability, collaboration, and execution

About you:  

  • Bachelor's degree in a science or engineering field
  • 2+ years of experience in performing computation fluid dynamics analyses (employment, internships, project experience)
  • Familiar with typical analysis steps including pre/post-processing, meshing, boundary conditions, etc.
  • Experience with basic engineering scripting in Python, MATLAB, or similar
  • Strong background in fluid mechanics and heat transfer

Nice to haves, but not required:  

  • We believe varied perspectives & backgrounds strengthen our team. Prior experience in aerospace is not required
  • Graduate degree in a science or engineering field 
  • Experience in Siemens STAR-CCM+
  • Working knowledge of rocket engine subsystems, such as combustion devices