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Internship R Programming Language Jobs in California

TSW Core LLC

Senior Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Proficiency in programming language such as R, Python and Spark; relationship database languages, such as SQL and Hive; as well as data visualization tools such as Tableau and Databricks Preferred:

Ford Motor Company

Rust Software Engineer

Palo Alto, CA · On-site

$135K - $226K/yr

... programming language * 1+ year experience in designing simple, elegant APIs with a strong emphasis on clarity, scalability, flexibility, versioning, and error handling. Even better, you may have.

Qualcomm

Staff Engineer

San Diego, CA · On-site

... programming language suitable for machine learning (e.g., Python, R, C, C++). • 5+ years of experience using statistics and probability (e.g., conditional probability, Bayes rule). • 3+ years ...

Atria Group LLC

Need Data Scientist

San Diego, CA · On-site

SAS, R, SQL, S-Plus, etc.) * 1-3+ years' experience with a general-purpose programming language (e.g. C, Java, Python, etc.) * Familiarity with basic principles of distributed computing and/or ...

Chai Discovery, Inc

Internship

San Francisco, CA · On-site

$17.75 - $23.50/hr

We are changing how biologists develop drugs, just as language models are changing how engineers ... Internship Opportunities We do not offer internships-everything is too fast, too critical, too ...

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Internship R Programming Language information

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 California? The most popular types of R Programming Language jobs in California are:
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Internship R Programming Language jobs near you

Senior Data Engineer

TSW Core LLC

Palo Alto, CA • On-site

$124K - $169K/yr

Full-time

Posted 13 days ago

Job description

Description:

TSW Core is looking for a highly motivated Data Engineer. In this role, you will be responsible for designing and implementing robust data warehouse architectures, enabling data-driven decision-making through scalable systems that support real-time and batch processing. If you're passionate about building high-quality data pipelines and delivering actionable insights to drive business performance, we want to hear from you.


This position is part of our client placement program. Successful candidates will be hired by TSW Core and assigned to work with one of our partner organizations. As part of the selection process, shortlisted applicants will participate in additional interviews with the client’s management team to ensure alignment with project requirements and team fit.

Key Responsibilities:

  • Design and develop data warehouse architecture and implement best practices in data governance and data asset access control
  • Build and maintain a comprehensive data system by deeply understanding business processes and providing both real-time data services and actionable data reports to support business operations
  • Research and implement technologies for both real-time and batch data processing in the big data domain, promoting their adoption in various business use cases
  • Collaborate closely with cross-functional teams to translate business needs into technical solutions, ensuring data reliability, quality, and timeliness

TSW Core is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Requirements:
  • A minimum bachelor’s degree in Data Science, Data Analytics, or a related field
  • Proficiency with quantitative and statistical methods to solve analytical problems and build models
  • Proficiency in programming language such as R, Python and Spark; relationship database languages, such as SQL and Hive; as well as data visualization tools such as Tableau and Databricks

Preferred:

  • Extensive data engineering experience combined with strong business acumen in the E-commerce domain, particularly with platforms such as Shopify or similar platforms
  • Multilingual capabilities or cross-cultural communication experience in European markets is a plus