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Internship R Statistics Jobs in Wisconsin (NOW HIRING)

... coop, internship, or personal projects). * Strong ability to independently coordinate and ... Data analysis and statistical thinking. * Programming or scripting experience (e.g., R, SQL, VBA ...

This position will coordinate project activities with USTEs, volunteers, and interns at the ... SCADA, water quality monitoring experience, statistical methods and programs (e.g. R), manuscript ...

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

... of R&M requirements on various government and commercial contracts. Provide statistical analysis ... Accredited Bachelor's degree in Engineering or related field with Internship experience or six (6) ...

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Hands-on experience with Python and/or R - coursework, projects, internships, or personal work all ...

Internship R Statistics information

What are the key skills and qualifications needed to thrive as an R Statistics Intern, and why are they important?

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 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.

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 are Internship R Statistics positions?

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 cities in Wisconsin are hiring for Internship R Statistics jobs? Cities in Wisconsin with the most Internship R Statistics job openings:
Infographic showing various Internship R Statistics job openings in Wisconsin as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 66% Full Time, 30% Part Time, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution.
Digital & Data Innovation Co-op

Full-time

Posted yesterday


International Flavors & Fragrances rating

8.1

Company rating: 8.1 out of 10

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Job description

Job Summary
This intern opportunity supports data-driven projects across research, operations, and digital innovation teams. The role offers hands-on experience in analytics, process improvement, and collaboration with scientists within probiotics R&D.
Job Description
IFF is a global leader in flavors, fragrances, food ingredients, and health & biosciences. We deliver sustainable innovations that elevate everyday products. Our Health & Biosciences business unit channels our passion for nature and bioscience into sustainable, life-enhancing technologies that power innovative solutions across healthcare, food, consumer and industrial markets.
Be part of a motivated, collaborative, and growth-oriented team where together we can achieve greatness and make a real impact. Your potential is our inspiration.
Where You'll Make a Difference
  • Support data-focused project work across research, operations, or digital innovation teams.
  • Assist with data collection, cleaning, structuring, and documentation from multiple sources (e.g., databases, spreadsheets, and system outputs).
  • Under supervision, curate data, build models, create-reports, dashboards, or simple applications to support analysis and decision-making.
  • Help document, improve, or automate business and technical processes.
  • Develop an understanding of internal IFF probiotic R&D projects.
  • Participate in role-specific training and development sessions.
  • Collaborate with experienced research associates and scientists.
  • Ensure compliance with safety policies, procedures, and good laboratory notebook practices.

What Makes You the Right Fit
  • Currently enrolled as a full-time student at an accredited university or college.
  • Sophomore or above in a bachelor's program, or first-year student in a master's program.
  • Pursuing a degree in Statistics, Data Science, Management Information Systems, Computer Science, Microbiology or a related technical field.
  • GPA of 3.0 or higher preferred or demonstrated projects.
  • Ability to work according to the co-op schedule structure:
    • A minimum of 16 hours/week but up to Full-time (40 hours/week) during the summer, and
    • A minimum of 16 hours/week during the academic term, following a set schedule.
  • Eligible to work in the United States in accordance with applicable employment authorization requirements, including student visa programs.

How Would You Stand Out?
  • Strong interpersonal skills and leadership experience (e.g., community service).
  • Prior experience with statistical analysis, data analysis, data engineering, process improvement, or technical project work (academic, co-op, internship, or personal projects).
  • Strong ability to independently coordinate and prioritize work.

Why Choose Us?
  • Full-time opportunity during summer months.
  • Hands-on experience working on real-world data, digital, and process-focused projects within a collaborative industrial environment.
  • Exposure to cutting-edge probiotic research and real-world application.
  • Opportunity to collaborate with highly skilled scientists and research associates.
  • Development and learning opportunities within a global industry leader.

Desired Skills
  • Data analysis and statistical thinking.
  • Programming or scripting experience (e.g., R, SQL, VBA, Python, or similar).
  • Data analysis, reporting, or dashboard development.
  • Data architecture or data engineering fundamentals.
  • Process mapping, documentation, and improvement.
  • Advanced Office and Excel (e.g., formulas, pivots, Power Query, or VBA).
  • Technical communication and cross-functional collaboration.
  • Project organization and time management.

We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.
Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more

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