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Internship R Shiny Jobs (NOW HIRING)

Jr. R Python Developer

$51.50 - $71/hr

... R (academic, internship, or professional). Working knowledge of Python for scripting and data ... Shiny/Dash (as applicable). • Support team members by generating datasets needed for analytics or ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

... R Shiny, Python Dash, Tableau, or Power BI. * Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required. * Prior internship or project ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

... R Shiny, Python Dash, Tableau, or Power BI. * Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required. * Prior internship or project ...

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Internship R Shiny information

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How much do internship r shiny jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for internship r shiny in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

How much do Siriusxm interns get paid?

SiriusXM internships typically offer hourly pay ranging from $15 to $20, depending on the role and location. Interns often work part-time during the summer or semester and may gain experience with media, broadcasting, and data analysis tools.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized consulting, executive roles, or certain freelance positions in fields like finance, law, or technology. These roles typically require advanced skills, extensive experience, or professional certifications, and may involve long hours or high levels of responsibility.

Is R shiny useful?

R Shiny is a valuable tool for data analysts and developers, including those in internship roles, as it allows for the creation of interactive web applications directly from R. It is widely used in industries for data visualization and reporting, making it a useful skill for job seekers in data-related fields.

What are Internship R Shiny positions?

Internship R Shiny positions are internship roles that focus on developing applications using R Shiny, a web application framework for R. Interns in these positions typically work on building interactive dashboards, data visualizations, and analytical tools to support business or research needs. They gain hands-on experience with R programming, web development concepts, and often collaborate with data scientists or analysts. These internships are ideal for students or recent graduates looking to enhance their technical skills and gain practical experience in data-driven environments.

What are the key skills and qualifications needed to thrive as an Internship R Shiny, and why are they important?

To thrive as an Internship R Shiny, you need proficiency in R programming, familiarity with data analysis, and a basic understanding of statistics, often supported by coursework or projects in data science or a related field. Experience using R Shiny for building interactive web applications and knowledge of version control systems like Git are typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These capabilities ensure the effective development of user-friendly analytical tools and efficient collaboration within data-driven teams.

What is the difference between Internship R Shiny vs Data Analyst Intern?

AspectInternship R ShinyData Analyst Intern
Required SkillsProficiency in R, Shiny, data visualizationExcel, SQL, basic statistical analysis
Work EnvironmentDeveloping interactive dashboards, coding in RData cleaning, reporting, and analysis
Industry UsageTech, healthcare, finance with focus on data appsVarious industries focusing on data insights

Internship R Shiny roles focus on building interactive web applications using R, requiring coding skills and data visualization expertise. Data Analyst Intern positions involve data cleaning, analysis, and reporting, often using Excel and SQL. While both roles involve working with data, R Shiny internships emphasize app development, whereas Data Analyst Internships focus on data interpretation and reporting.

Am I screwed if I have no internships?

For an internship in R Shiny, having prior internships can strengthen your application, but it is not mandatory. Building relevant skills through coursework, personal projects, or online tutorials can also demonstrate your capabilities to employers. Gaining experience in data visualization, programming, and using R Shiny tools can improve your chances even without formal internships.

What types of projects can an Internship R Shiny developer expect to work on, and how are tasks typically structured?

As an R Shiny intern, you will often work on projects that involve creating interactive dashboards, data visualizations, and web applications for internal teams or clients. Tasks are typically structured in collaboration with data scientists and analysts, where you may be responsible for coding UI features, connecting to data sources, and ensuring responsiveness. You'll likely participate in agile workflows, attend regular team meetings, and receive mentorship to help you learn best practices in R programming and Shiny app development. This role provides a hands-on opportunity to see how data-driven insights are delivered to stakeholders and to build a portfolio of real-world applications.
More about Internship R Shiny jobs
What cities are hiring for Internship R Shiny jobs? Cities with the most Internship R Shiny job openings:
What are the most commonly searched types of R Shiny jobs? The most popular types of R Shiny jobs are:
What states have the most Internship R Shiny jobs? States with the most job openings for Internship R Shiny jobs include:
Infographic showing various Internship R Shiny job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 34% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Jr. R Python Developer

$51.50 - $71/hr

Other

Posted 4 days ago


Job description

Job Title : Jr. R Python Developer
Location: Atlanta, GA / Remote
FTE Only
Job Description
Must Have Technical/Functional Skills
1-2 years of experience with R (academic, internship, or professional). Working knowledge of Python for scripting and data manipulation. Hands- on experience managing Posit Workbench, Connect, and GPU servers in enterprise environments. Familiarity with Linux command-line tools and scripting. Strong problem-solving and communication skills with a desire to work in a collaborative environment.
Roles & Responsibilities
We are looking for a motivated Junior R/Python Developer to join our team. In this role, you will help build and maintain data processing scripts, analytical workflows, and reporting solutions that support our analytics and business intelligence needs. You will assist in translating business requirements into technical tasks, ensuring data accuracy, consistency, and reliability across our systems.
You will collaborate with data scientists, data engineers, analysts, and business stakeholders to support the development of high quality and efficient analytical solutions. Success in this role requires a strong foundation in R and Python programming, basic SQL skills, a willingness to learn, and the ability to work effectively in a fast paced, collaborative environment. If you are eager to grow your technical skills, contribute to meaningful data projects, and learn from experienced team members, we would be happy to connect with you.
Key Responsibilities
Data Processing & Script Development
• Develop and maintain basic R and Python scripts for data cleaning, transformation, and preparation.
• Support building reusable code modules and automation components under senior developer guidance.
• Assist in writing functions, procedures, and small-scale utilities for data manipulation.
2. Data Analysis & Exploration
• Perform exploratory data analysis (EDA) to help identify patterns, anomalies, and insights in datasets.
• Create simple visualizations and summary reports using tools like ggplot2, Matplotlib, Seaborn, or Shiny/Dash (as applicable).
• Support team members by generating datasets needed for analytics or reporting.

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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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