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Internship R Programming Language Jobs in New Jersey

(USA) Senior, Data Scientist

Hoboken, NJ · On-site

$117K - $234K/yr

Proficiency in Python and R programming languages for code development, testing, and data analysis ... Programs range from high school completion to bachelor's degrees, including English Language ...

Fluency in mathematical computing with at least one programming language (e.g. Python, R, Java), and the ability to learn technical methods and tools independently * Fluency in data visualization ...

Industrial Engineer

Secaucus, NJ · On-site

$93K - $136K/yr

Fluency in mathematical computing with at least one programming language (e.g. Python, R, Java), and the ability to learn technical methods and tools independently * Fluency in data visualization ...

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source ...

... internships) and grow into an AI-focused career path. Working in our Newark office, you'll ... Experience with at least one modern programming language and its ecosystem. * Generative AI, Prompt ...

Data Engineer

Parsippany, NJ · On-site

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source ...

... internships) and grow into an AI-focused career path. Working in our Newark office, you'll ... Experience with at least one modern programming language and its ecosystem. * Generative AI, Prompt ...

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Familiarity with predictive model building in Python (Pandas/PySpark) / R * Experience with source ...

Experience with at least one other programming language aside from Python or R, like Julia, Scala, Go, Java, or C++. * Prior exposure to NoSQL databases. Education: * The candidate should have 4+ ...

Experience with at least one other programming language (R, Julia, Scala, Go, Java, C++). * Exposure to technologies such as DBT, Apache AirFlow or Luigi. * Working knowledge of containers ...

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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 New Jersey? The most popular types of R Programming Language jobs in New Jersey are:
What job categories do people searching Internship R Programming Language jobs in New Jersey look for? The top searched job categories for Internship R Programming Language jobs in New Jersey are:
What cities in New Jersey are hiring for Internship R Programming Language jobs? Cities in New Jersey with the most Internship R Programming Language job openings:
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Re-posted 2 days ago


Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.