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 ...
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 ...
Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML ... as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray ...
Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML ... as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray ...
Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit ) and ML ... R and Python; workflow and distributed processing frameworks ( MLflow , Targets, Prefect, Ray ...
Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit ) and ML ... R and Python; workflow and distributed processing frameworks ( MLflow , Targets, Prefect, Ray ...
Internship R Shiny information
See salary details
$9.13 - $10.47
2% of jobs
$10.47 - $11.80
2% of jobs
$11.80 - $13.13
3% of jobs
$13.13 - $14.47
17% of jobs
$14.55 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.80
18% of jobs
The median wage is $16.51 / hr.
$15.80 - $17.13
16% of jobs
$17.13 - $18.47
11% of jobs
$18.89 is the 75th percentile. Wages above this are outliers.
$18.47 - $19.80
20% of jobs
$19.80 - $21.13
6% of jobs
$21.13 - $22.47
3% of jobs
$22.47 - $23.80
2% of jobs
$9
$17
$23
How much do internship r shiny jobs pay per hour?
As of Jun 28, 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?
| Aspect | Internship R Shiny | Data Analyst Intern |
|---|---|---|
| Required Skills | Proficiency in R, Shiny, data visualization | Excel, SQL, basic statistical analysis |
| Work Environment | Developing interactive dashboards, coding in R | Data cleaning, reporting, and analysis |
| Industry Usage | Tech, healthcare, finance with focus on data apps | Various 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:
What job categories do people searching Internship R Shiny jobs look for? The top searched job categories for Internship R Shiny jobs are:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 6 days ago
Copart rating
6.8
Based on 107 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:
Required Skills and Experience:
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:
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
About Copart
Sourced by ZipRecruiter
Industry
Motor vehicle manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Dallas, TX, US
Year founded
1982