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Intern R Programming Language Jobs in Tucson, AZ

Facilities Intern

Tucson, AZ

$15 - $19.50/hr

The Facilities Intern is responsible for the support of engineering projects implemented by or ... Completing the implementation of the CMMS, which includes populating the asset base and M&R Stores ...

The Facilities Intern is responsible for the support of engineering projects implemented by or ... Completing the implementation of the CMMS, which includes populating the asset base and M&R Stores ...

Facilities Intern

Tucson, AZ · On-site

$15 - $19.50/hr

The Facilities Intern is responsible for the support of engineering projects implemented by or ... Completing the implementation of the CMMS, which includes populating the asset base and M&R Stores ...

The Manufacturing Analyst / Engineering intern will work with the Engineering Manager and ... Experience with Python programming language. * Ability to read and interpret electrical schematics ...

Intern R Programming Language information

See Tucson, AZ salary details

$8

$16

$22

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

As of May 28, 2026, the average hourly pay for intern r programming language in Tucson, AZ is $16.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.65 and $18.17 per hour, depending on experience, location, and employer.

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 cities near Tucson, AZ are hiring for Intern R Programming Language jobs? Cities near Tucson, AZ with the most Intern R Programming Language job openings:
Infographic showing various Intern R Programming Language job openings in Tucson, AZ as of May 2026, with employment types broken down into 6% Internship, 55% Full Time, and 39% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $33,504 per year, or $16.1 per hour.
Baseball Operations R&D Intern

Baseball Operations R&D Intern

San Francisco Giants

Oracle, AZ • On-site

$25 - $30/hr

Internship

Posted 19 days ago


Job description

Title: Baseball Operations R&D Intern
Department: Baseball Operations
Location: San Francisco, CA
Status: Part-Time; Non-Exempt
Position Summary:
The San Francisco Giants are seeking an analytically-focused intern to join the R+D department within Baseball Operations, with opportunities available for both summer and year-round internships. This individual will be part of the R&D team and focus on providing support to ongoing research projects while owning some small initiatives themselves. The ideal candidate will possess strong analytical skills, demonstrated ability to learn quickly in a fast-paced environment, and both passion and intellectual curiosity for the game of baseball.
Position Responsibilities:
• Actively participate in research initiatives within the Modeling, Research, and Performance Science Depts.
• Act as a thought partner in project design and methodology, offering careful consideration of factors like uncertainty, confounding variables, and signal-to-noise ratio.
• Prototype research outputs into lightweight tools and visualizations for use across Baseball Ops.
• Perform ad-hoc statistical analysis and quantitative research to support various areas of Baseball Ops.
• Own small-scale (or larger!) research projects and see them through to completion.
• Keep up-to-date on the frontier of public baseball research and AI tool integration to enhance workflows.
Skills and Qualifications:
• Experience in a quantitative field, such as engineering, physical sciences, computer science, or applied math.
• Fluency in SQL and at least one general-purpose programming language (e.g. Python, R).
• Top-notch critical thinking skills, including ability to identify data issues; ability to articulate assumptions, limitations, and uncertainties in a process; and ability to distill complex topics into interpretable results.
• Passion and curiosity for baseball analytics.
• Strong work ethic with a voracious appetite to learn on the fly.
• Positive attitude and willingness to contribute to team culture.
• Experience with machine learning and/or computer vision is a plus.
At the San Francisco Giants, we carefully consider a wide range of factors when determining compensation. Including your background and experience. These considerations can cause your compensation to vary. The hourly range for this position will be $25.00 to $30.00.
At the Giants, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, religious creed, color, national origin, ancestry, medical condition or disability, genetic condition, marital status, domestic partnership status, sex, gender, gender identity, gender expression, age, sexual orientation, military or veteran status and any other protected class under federal, state or local law. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. In addition, we will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.