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Internship R Statistics Jobs in Missouri (NOW HIRING)

Jobtailor

Data Science Intern

California, MO · On-site

... the internship * At least 6 months experience or academic work using open source programming ... Python * R Hard Skills * Data Analysis * Data Science Modeling * Statistical Analysis

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Intern: Uptime Management Center

Columbia, MO · On-site

$16 - $20.75/hr

In turn, our interns have countless opportunities to make a tangible difference in an industry that ... Experience with Python or R (coursework or projects). * Exposure to operations, manufacturing ...

EquipmentShare

Intern: Uptime Management Center

Columbia, MO · On-site

$16 - $20.75/hr

In turn, our interns have countless opportunities to make a tangible difference in an industry that ... Experience with Python or R (coursework or projects). * Exposure to operations, manufacturing ...

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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 Missouri?

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

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

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

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

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

Internship R Statistics jobs near you

PhD Candidate -- Data Science Intern: Build Models & Insights

California, MO • On-site

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Posted 9 days ago

Job description

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data
  • Integrate internal data with external data sources and APIs to discover and implement actionable insights
  • Design and craft data science models to communicate solutions to customers and company leadership
Requirements
  • Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • Must be continuing in the same course of study of your PhD degree following completion of the internship
  • At least 6 months experience or academic work using open source programming languages for data analysis
  • At least 6 months of experience or academic work using machine learning techniques
  • At least 6 months of experience with either Python, R or SQL
Core Competencies

Demonstrates expertise in data science model design and integration of internal and external data sources to derive actionable insights. Proficient in open-source programming languages and machine learning techniques, with a strong foundation in quantitative analysis.

Highest-signal resume keywords
  • PhD In Quantitative Field
  • Open Source Programming Languages
  • Machine Learning Techniques
  • Python
  • R
Hard Skills
  • Data Analysis
  • Data Science Modeling
  • Statistical Analysis
  • Quantitative Research
  • Analytics
Industry Keywords
  • Business Data
  • Actionable Insights
Tools & Technologies
  • APIs
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