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Data Science R Jobs in Wisconsin (NOW HIRING)

Clinical Research Data Specialist

Madison, WI ยท On-site

$62K/yr

  • Retirement

  • PTO

Familiarity with coding languages such as R, Python, Matlab, or others is helpful but not required ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

Data Integration Developer

Madison, WI

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Computer Science, Math, Economics Statistics). * 3-5 years of work experience in the data analytics ... Python, R, Perl, bash) * Certifications in Snowflake, Talend, AWS, Microsoft What Pandata Group ...

Medical Science Liaison

Milwaukee, WI ยท On-site

$175 - $188/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll contribute cutting-edge clinical and scientific data to help move healthcare forward and ... W o r k H e r e M a t t e r s E v e r y w h e r e | How are you inspired to change lives? Syneos ...

New

Medical Science Liaison

Milwaukee, WI ยท On-site

$175 - $188/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll contribute cutting-edge clinical and scientific data to help move healthcare forward and ... W o r k H e r e M a t t e r s E v e r y w h e r e | How are you inspired to change lives? Syneos ...

New

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

Showing results 41-60

Data Science R information

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Wisconsin?

The most popular types of Data Science R jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Science R jobs?

Cities in Wisconsin with the most Data Science R job openings:

Infographic showing various Data Science R job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst Intern (Appleton, Wisconsin (US))

Voith Group

Appleton, WI โ€ข On-site

Internship

Retirement

Posted 5 days ago


Job description

About the Voith Group
The Voith Group is a global technology company. With its broad portfolio of systems, products, services and digital applications, Voith sets standards in the markets of energy, paper, raw materials and transport & automotive. Founded in 1867, the company today has around 20,700 employees, sales of โ‚ฌ 4.8 billion and locations in over 60 countries worldwide and is thus one of the larger family-owned companies in Europe.
Voith Paper is hiring for:
Data Analyst Intern
Appleton, WI
Interested to learn about Voith? Check out our video "Voith careers" on YouTube.
Reasons you'll love working here:
  • Flexibility with Work/Life Balance
  • Competitive Compensation and Benefits Package
  • 401K with generous company match
  • Climate-Neutral Footprint Worldwide
  • Tuition reimbursement

Summary:
We are seeking a motivated and detail-oriented Data Analyst Intern to join our team. This internship offers hands-on experience working with real-world data, developing analytical skills, and contributing to impactful business decisions. You'll collaborate with cross-functional teams to gather, analyze, and visualize data to uncover insights and support strategic initiatives.
Responsibilities:
  • Collect, clean, and organize data from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Create dashboards and reports using tools like Excel, Power BI, or Tableau.
  • Assist in building predictive models and statistical analyses.
  • Present findings and recommendations to stakeholders.
  • Support ongoing data projects and contribute to process improvements.

Requirements:
  • Currently pursuing a degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • Strong analytical and problem-solving skills.
  • Proficiency in Excel and familiarity with SQL, Python, or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Excellent communication and collaboration skills.
  • Ability to work independently and manage multiple tasks.

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times

What you'll gain:
  • Real-world experience in data analytics and business intelligence.
  • Mentorship from experienced data professionals.
  • Exposure to industry-standard tools and practices.
  • Opportunity to contribute to meaningful projects and make an impact.

Don't meet every single requirement but think you would be a good fit for our team? We encourage you to apply - your unique skills may be just what we need for this or other roles!
Voith US Inc. is an EEO/AA/VEVRAA compliant Federal Contractor and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, or any other classification protected by federal, state, or local law. We welcome everyone to apply, especially those individuals who are underrepresented in the industry including people of color, LGBTQI+ community, women, individuals with disabilities (both seen and unseen), Veterans, people of any age or family status. We embrace the competitive advantage that diversity brings and we strive to create a working environment that is inclusive of thought and talent.