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Internship R Programming Language Jobs in Santa Monica, CA

Brelle

Electrical Engineering Intern

Los Alamitos, CA · On-site

$25 - $32/hr

Familiarity with at least one programming language (Python, C, or C++) * Strong analytical and ... hardware before your internship ends. Compensation & Culture Compensation * $25/hr - $32/hr.

Relativity Space

Senior Fluid Systems Engineer

Long Beach, CA · On-site

$109K - $150K/yr

... Terran R, focused not on isolated parts but integrated functionality. Working on-site at the ... or a similar programing language for scientific computing and automated test/simulation data ...

GEI Consultants

AI Engineer

Pasadena, CA · On-site

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 ...

GEI Consultants

AI Engineer

Pasadena, CA

$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 ...

SpaceX

Space Lasers Engineer (Starshield)

Hawthorne, CA

$115K - $145K/yr

... internship experience qualifies) * 1+ years of experience in a computer programming language (e.g. C++, MATLAB, and/or Python) PREFERRED SKILLS AND EXPERIENCE: * Master's degree or PhD in physics or ...

SpaceX

Optical Engineer (Starshield)

Hawthorne, CA

$115K - $145K/yr

... internship experience qualifies) * 1+ years of experience in a computer programming language (e.g. C++, MATLAB, and/or Python) PREFERRED SKILLS AND EXPERIENCE: * Master's degree or PhD in physics or ...

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All JobsInternship R Programming Language JobsInternship R Programming Language Jobs in Santa Monica, CA

Internship R Programming Language information

See Santa Monica, CA salary details

$10

$19

$26

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

As of Jun 27, 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.

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.
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:
Internship R Programming Language jobs near you
Data Scientist - Multiple Positions (2)

Data Scientist - Multiple Positions (2)

ALR Partners, LLC

Manhattan Beach, CA • On-site

Full-time

Posted 2 days ago

Job description

Company Description
ABOUT OUR CLIENT:
Our Client has launched a new digital business. A digital innovation, product development, and commercialization firm. This first-of-its-kind firm will bring unique capabilities to create and grow disruptive digital products and platforms. Our Client goes beyond providing consulting, design, and technology services to form strategic venture teams with its clients in order to rapidly develop, launch, and grow transformational digital products, platforms, and businesses.
Job Description
We are looking for an Data Scientist who is passionate about building the data foundation, products and capabilities to help drive the rapid growth of new digital business. Our purpose is to help companies imagine, bring-to-life and launch digital businesses and solutions that have transformative customer impact. To do this, we've assembled a group of world-class business/strategy, product design, and technology professionals with deep knowledge and experience in digital businesses and solutions - from mobile applications and ecommerce, to new and emerging digital solutions yet to be realized.
As a data scientist, you will use your skills to:
• Demonstrate and communicate a passion about building the data foundation, products and capabilities that drive business growth
• Build innovative data products: e.g., real-time services, such as personalization; A/B testing; audience segmentation; unified profile; commerce graph; as well as a big data platform on Hadoop and Spark with real-time data ingestion and processing.
• Conceptualize, define, and oversee regular updates around key product metrics as the company's challenges and data evolve.
• Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior.
• Cultivate strong collaborations with product, engineering, senior stakeholders.
• Share your technical solutions and product ideas with the BCG DV team through design review, pair programming, code reviews, and tech talks.
• Balance competing priorities while adhering to deadlines and aligning resources with value demands
Qualifications
As a data scientist, you will need:
• 5+ years of experience in analytical field
• Experience in statistical modeling and/or machine learning
• Experience with a programming language like Python, Java, R and C++
• Ability to translate data insights into product decisions
• Enthusiasm for learning new things and going deep into detailed data analysis
• Willingness to teach others
• Workflow flexibility and strong teamwork skills
• MS in Computer Science, Statistics, Applied Mathematics, or related areas
Additional valued capabilities include:
• PhD in Computer Science, Statistics, Applied Mathematics, or related areas
• 2 years of relevant work experience, including expertise in recommender systems, personalization, collaborative filtering and content based filtering
• Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
• Experience with Python, Unix, or statistical software packages (R, SAS) for data manipulation
• Familiarity with SQL or other querying language
• Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics
• Confidence with analytical tools such as Excel, R, Python, Stata,or Matlab
Additional Information
*Must work on-site
*Environment is super causal, similar to a start-up tech feel. Very beachy California style. This is an In-house digital agency.
*Perks: Cater luncheons, open work desk environment, comfortable work stations included ergonomic styles

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