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Internship R Statistics Jobs in Wisconsin (NOW HIRING)

Jobtailor

WI · On-site

$9.26/hr

Majoring in Computer Science, Data Science, Computer Engineering, Software Engineering, Statistics ... R. § 120.15 for Export Control compliance * Employer will not sponsor applicants for employment ...

Grande Cheese

Research & Intern

Fond Du Lac, WI · On-site

... statistical techniques, and effectively share their findings. Interns in this role can expect to ... science and R&D. Unique Benefits of our Internship Program: * You will get the farm to fork ...

Sartori

Sensory Scientist III

Plymouth, WI

DIRECT REPORTS This role will lead panelists and interns initially but will have no full-time ... Proficiency with sensory and statistical analysis software (e.g., Compusense, XLSTAT, JMP, R, or ...

Sartori

Sensory Scientist III

Plymouth, WI · On-site

DIRECT REPORTS This role will lead panelists and interns initially but will have no full-time ... Proficiency with sensory and statistical analysis software (e.g., Compusense, XLSTAT, JMP, R, or ...

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All JobsR Statistics JobsInternship R Statistics JobsInternship R Statistics Jobs in Wisconsin

Internship R Statistics information

What is an internship R Statistics position?

Internship R Statistics positions are internships that focus on using the R programming language for statistical analysis and data processing. These roles are typically aimed at students or recent graduates who want hands-on experience working with data, performing statistical modeling, and visualizing results using R. Interns may work in various industries, such as healthcare, finance, or technology, and often assist with tasks like data cleaning, exploratory data analysis, and report generation. These internships help participants develop practical skills in R, deepen their understanding of statistics, and prepare them for careers in data science or analytics.

What are the key skills and qualifications needed to thrive as an R Statistics intern?

To thrive as an R Statistics Intern, a solid understanding of statistical concepts, data analysis, and proficiency in R programming—often supported by coursework in statistics or data science—is essential. Familiarity with data visualization tools, R packages like dplyr and ggplot2, and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These skills ensure accurate data-driven insights and smooth integration into research or analytics projects.

What types of projects or tasks can I expect to work on during an R Statistics internship?

As an R Statistics intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing large datasets, creating statistical models, and generating visualizations using R. You may collaborate closely with data scientists and other team members to support ongoing research, prepare reports, or assist in automating data workflows. Interns often have the opportunity to present their findings to the team and contribute to real-world decision-making processes, making this role a valuable learning experience for future careers in data analysis or statistics.

What is the difference between Internship R Statistics vs Data Analyst?

AspectInternship R StatisticsData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, data science, or related fieldBachelor's degree in statistics, data analysis, or related field; sometimes requires experience
Work EnvironmentInternship setting, often part-time or temporary, in tech, finance, or healthcare industriesFull-time role in various industries like finance, marketing, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level data tasks, often in tech and research sectorsEmployed by organizations to analyze data, generate reports, and support decision-making

Internship R Statistics is an entry-level, temporary position focused on learning and assisting with statistical analysis using R. In contrast, a Data Analyst is a full-time professional role responsible for analyzing data, creating reports, and supporting business decisions. While internships are designed for skill development, data analyst roles require more experience and responsibility.

Which internship is best for statistics students?

The best internship for statistics students typically involves roles in data analysis, research, or analytics that utilize statistical software like R or Python. Look for internships in industries such as finance, healthcare, or technology that offer hands-on experience with data modeling, visualization, and statistical methods. These opportunities often require strong analytical skills and may offer certifications or training in relevant tools.

What are popular job titles related to Internship R Statistics jobs in Wisconsin?

For Internship R Statistics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Internship R Statistics jobs in Wisconsin look for?

The top searched job categories for Internship R Statistics jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship R Statistics jobs?

Cities in Wisconsin with the most Internship R Statistics job openings:

Internship R Statistics jobs near you
Infographic showing various Internship R Statistics job openings in Wisconsin as of June 2026, with employment types broken down into 4% Internship, 2% As Needed, 69% Full Time, 21% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Information Digital Technology & Security Internship

WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$9.26/hr

Other

Posted 9 days ago

Job description


  • Assist in delivering best-in-class technological solutions for Boeing’s global business, partners, and customers

  • Transition classroom theory into high-impact practical work

  • Complete projects that develop existing technical skills and build new competencies

  • Work within collaborative teams to address complex real-world challenges

  • Work directly with a mentor to find solutions to real-world problems

  • Tour Boeing manufacturing and research facilities

  • Interact with company leaders about strategy and Boeing’s future

  • Build a professional network through social events and activities

  • Develop skills and knowledge for a future aerospace industry career


Requirements

  • Ability to work full-time for 10–12 weeks during Summer 2027

  • Currently enrolled at a college or university

  • Expected graduation date on or after August 2027

  • Majoring in Computer Science, Data Science, Computer Engineering, Software Engineering, Statistics, Mathematics, Electrical Engineering, Physics, Programming, Cybersecurity, Cloud Computing, DevOps Engineering, Machine Learning, Generative AI, Analytics, Information Technology, Information Systems, Data Analytics, or a related field

  • Strong academic performance, with a GPA of 3.0 or above preferred

  • Previous internships or work experience and/or involvement with student or civic organizations preferred

  • Passion for the aerospace industry and interest in a career with Boeing

  • Ability to relocate and work onsite preferred

  • Some positions may require U.S. citizenship to obtain a U.S. Security Clearance

  • Some positions require a “US Person” under 22 C.F.R. § 120.15 for Export Control compliance

  • Employer will not sponsor applicants for employment visa status

  • Post-offer drug testing may apply

  • Ability to work first shift


Core Competencies

Demonstrates strong technical skills in Computer Science, Data Science, and related fields while collaborating effectively within teams to solve complex challenges in the aerospace industry. Possesses a passion for aerospace and a commitment to professional development through hands‑on experience and mentorship.


Highest-signal resume keywords

  • Computer Science

  • Data Science

  • Software Engineering

  • Machine Learning

  • Cloud Computing


Hard Skills

  • Programming

  • Data Analytics

  • Cybersecurity

  • DevOps Engineering

  • Generative AI

  • Statistics

  • Mathematics

  • Information Technology

  • Information Systems

  • Electrical Engineering


Soft Skills

  • Collaboration

  • Problem-Solving

  • Networking

  • Mentorship

  • Communication


Industry Keywords

  • Aerospace Industry

  • U.S. Security Clearance

  • Export Control Compliance

  • Internship Experience

  • Onsite Work

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