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Intern R Programming Language Jobs in El Paso, TX

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Intern R Programming Language information

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How much do intern r programming language jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for intern r programming language in El Paso, TX is $15.41, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $17.40 per hour, depending on experience, location, and employer.

Is 22 too old for an internship?

Intern R Programming Language internships are open to candidates of various ages, including those who are 22. Age is generally not a barrier, and employers often value skills, relevant coursework, and enthusiasm over age. Many internships welcome early-career professionals or those seeking to gain experience in data analysis and programming tools like R.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. Data analysts and statisticians, including those applying for R programming internships, continue to rely on R alongside tools like Python, especially in academia and research environments.

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, academia, and market research for data analysis and reporting.

Is R programming still in demand?

R programming remains in demand for data analysis, statistical modeling, and research roles, especially in industries like healthcare, finance, and academia. Professionals skilled in R, along with data visualization and statistical techniques, are valued as organizations increasingly rely on data-driven decision-making.

What is the difference between Intern R Programming Language vs Data Analyst Intern?

AspectIntern R Programming LanguageData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationData analysis, Excel, SQL, basic R knowledge
Work EnvironmentResearch labs, data science teams, tech companiesBusiness departments, marketing, finance teams
Industry UsageData science, research, analytics projectsBusiness intelligence, reporting, data interpretation

Intern R Programming Language roles focus on developing skills in R for data analysis and visualization, often within research or data science teams. Data Analyst Intern positions involve applying analytical skills to interpret data for business insights, sometimes using R but often emphasizing Excel and SQL. Both roles require analytical thinking but differ in technical depth and industry focus.

What are the most commonly searched types of R Programming Language jobs in El Paso, TX? The most popular types of R Programming Language jobs in El Paso, TX are:
What are popular job titles related to Intern R Programming Language jobs in El Paso, TX? For Intern R Programming Language jobs in El Paso, TX, the most frequently searched job titles are:
What cities near El Paso, TX are hiring for Intern R Programming Language jobs? Cities near El Paso, TX with the most Intern R Programming Language job openings:
Data Scientist-Direct Hire-6-Month Register

Data Scientist-Direct Hire-6-Month Register

US Department of the Treasury

El Paso, TX • On-site

$125K/yr

Other

Posted 8 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

227th of 673 rated public administrative organizations


Job description

WHAT IS DATA AND ANALYTICS (DA)-RESEARCH APPLIED ANALYTICS & STATISTICS (RAAS)?

A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled in the following area(s):
    • DAO DATA AND ANALYTICS
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off dates as shown in announcement under the 'How to Apply' section.
QUALIFICATION REQUIRMENTS: BASIC REQUIREMENTS All GRADES: EDUCATION:
You must have a bachelor's or higher degree in mathematics, statistics, computer science, data science or other field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: A combination of education and experience that includes courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.
AND
SPECIALIZED EXPERIENCE GRADE 14: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service. Specialized experience for this position includes experience performing all the following:
  • Leading data science or statistical analysis initiatives by defining project scope, analytic approach, data requirements, schedules, deliverables, or success measures; coordinating work across data, program, business, or technology stakeholders; and developing findings or recommendations for program or operational decisions.
  • Developing or applying statistical, machine learning, operations research, artificial intelligence, or other data science methods to evaluate programs, operations, compliance, or organizational performance, for example forecasting, predictive or prescriptive modeling, optimization, natural language processing or text analytics, graph or link analysis, neural networks or deep learning, or exploratory data analysis.
  • Overseeing data preparation, data quality, data governance, data certification, or analytic product delivery using programming, query, scripting, or analytic tools, such as Structured Query Language (SQL), R, Python, SAS, or equivalent tools, to support reproducible analysis, reporting, modeling, or decision-support products.
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform).
  • Advising managers or senior leaders on data science findings, automation opportunities, policy or program impacts, resource implications, risks, or recommended changes to processes, procedures, or operations.
  • Providing technical guidance, review, or mentoring to analysts or data scientists and preparing technical reports, briefings, presentations, or documentation that explain methods, assumptions, limitations, validation results, success measures, key performance indicators, or recommendations.
AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education
For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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