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Internship R Shiny Jobs in Texas (NOW HIRING)

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ... ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques. Benefits ...

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Internship R Shiny information

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 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.

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 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.

What are the most commonly searched types of R Shiny jobs in Texas? The most popular types of R Shiny jobs in Texas are:
What are popular job titles related to Internship R Shiny jobs in Texas? For Internship R Shiny jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Internship R Shiny jobs in Texas look for? The top searched job categories for Internship R Shiny jobs in Texas are:
What cities in Texas are hiring for Internship R Shiny jobs? Cities in Texas with the most Internship R Shiny job openings:
Internship R Shiny jobs near you
Infographic showing various Internship R Shiny job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, 1% Temporary, and 6% Contract. Highlights an 10% Physical, and 90% Remote job distribution.
Data Science Analyst

Data Science Analyst

Copart, Inc.

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Copart rating

6.7

Company rating: 6.7 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

11th of 16 rated auctioneers

Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart data science initiatives through the analysis and implementation of data science solutions. The data science analyst will also analyze and manipulate large-scale data sets from a multitude of sources, work to operationalize and integrate machine learning solutions into Copart's current products and visualize and report on findings and results to provide insight to the organization
Job Duties:
  • Design, implement, and analyze data science projects to improve the efficiency of Copart Operations
  • Apply critical thinking to ensure data integrity and quality control is applied to each dataset, model, and other analysis prior to presenting with internal customers
  • Apply insights from data analysis to guide the development of business initiatives.
  • Apply various machine learning techniques to build predictive models.
  • Continually engage in professional development to grow both technical skills, business, and industry knowledge.

Required Skills and Experience:
  • 3-5+ years of experience (relevant academic internships and projects can be considered in lieu of professional experience) with machine learning, statistical modeling, and data mining techniques. Bachelors or masters degree in a highly quantitative field (computer science, mathematics, machine learning, statistics) or equivalent experience
  • Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation in SQL
  • Experience applying various machine learning techniques, specifically neural networks and gradient boosted machines, and understanding the key parameters that affect their performance.
  • Strong data visualization skills using open-source tools (seaborns, matplotlib, plotly, ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques.

Benefits Summary:
• Medical/Dental/Vision
• 401k plus a company match
• ESPP - Employee Stock Purchase Plan
• EAP - Employee Assistance Program (no cost to you)
• Vacation & Sick pay
• Paid Company Holidays
• Life and AD&D Insurance
• Discounts
Along with many other employee benefits.
#LI-KK1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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