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Internship R Programming Language Jobs in New York

Bloomberg LP

Senior Software Engineer - BQL

New York, NY · On-site

$134K - $176K/yr

... modern programming language (C++, Java, Scala, Go, Python, JavaScript, etc.). * Strong ... The Company does not provide benefits directly to contingent workers/contractors and interns.

Jobsbridge

Big Data Solutions Engineer

Bridgewater, NJ

$57 - $75.50/hr

Programming language -- Java (must), Python, Scala, Ruby * Batch processing -- Hadoop MapReduce ... R Java Hadoop/MapReduce Flume Storm Kafka MemSQL Pig Hive Tableau Integration ETL Qualifications ...

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Internship R Programming Language information

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 are the most commonly searched types of R Programming Language jobs in New York? The most popular types of R Programming Language jobs in New York are:
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Internship R Programming Language jobs near you
Senior Software Engineer - BQL

Senior Software Engineer - BQL

Bloomberg LP

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Job description

Senior Software Engineer - BQL
Location
New York
Business Area
Engineering and CTO
Ref #
10051731
Description & Requirements
To capture opportunities and evaluate risk in fast-moving markets, financial institutions of all sizes require performant access to the wealth of financial data and analytics available across Bloomberg's ecosystem. The Bloomberg Query Language (BQL) is the nexus of this data access and distributed analytics. Through an intuitive workflow construction and querying language, BQL enhances our client's experience by unifying access to Bloomberg's external APIs and internal services. It's a one-stop-shop used directly by clients via a powerful Excel Plugin, it is the powerhouse behind Bloomberg's BQuant product and is used internally by domain application teams to build Terminal Functions.
A core team of 100+ engineers is passionately working on multiple initiatives:
  • Providing unified and consistent access and analytics on top of Bloomberg's rich data through a common API and expression language.
  • Scaling the BQL infrastructure to handle more users, and more challenging use cases and datasets.
  • Developing infrastructure, and workflows for domain application teams around the company to accelerate onboarding processes for new datasets in BQL.
We are looking for engineers, problem solvers, and agents of change to build the next generation of the BQL Platform with us. That's where you come in.
We'll trust you to:
  • Adapt - to large, complex, and interconnected systems
  • Collaborate - on problem solving, design, implementation
  • Innovate - with all of your solutions
  • Evolve - yourself, the code, systems, teams, and tools
  • Think - about the bigger picture
  • Integrate - your solutions with the BQL ecosystem
  • Own - your solutions from inception, and through release

What We're Looking For:
  • 4+ years of experience scaling applications and services in a modern programming language (C++, Java, Scala, Go, Python, JavaScript, etc.).
  • Strong understanding of the internals of the languages and frameworks you use, and how they scale (or don't) to different problems.
  • Hands-on experience with large-scale data processing: indexing, joining, aggregating, parallelism, orchestration, compression, and sharding.
  • Proficiency with test-driven design and development.
  • BA, BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field.

Have experience in some of these areas but not all? The Bloomberg Engineering culture is growth oriented, and has loads of opportunities for you to fill in these gaps along the way in your career. Through our very active and vast guild community covering most languages, technologies, problem spaces, you can build a strong network to leverage, and expertise to bring innovation into your team.
If this sounds like you, apply!
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Bloomberg logo

About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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