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Internship R Programming Language Jobs in Ohio (NOW HIRING)

centralins

Data Engineering Intern

Dublin, OH · On-site

$16.25 - $21/hr

At Central, we believe an internship should be more than completing busy work. We invest in our ... Uses and learns applicable programming language(s) and writes code * Uses and learns industry ...

centralins

Data Engineering Intern

Dublin, OH

$16.25 - $21/hr

At Central, we believe an internship should be more than completing busy work. We invest in our ... Uses and learns applicable programming language(s) and writes code * Uses and learns industry ...

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

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Internship R Programming Language information

What is an internship in R programming language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

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

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.

What are the key skills and qualifications needed to thrive as an R programming language intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are popular job titles related to Internship R Programming Language jobs in Ohio?

For Internship R Programming Language jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Internship R Programming Language jobs in Ohio look for?

The top searched job categories for Internship R Programming Language jobs in Ohio are:

What cities in Ohio are hiring for Internship R Programming Language jobs?

Cities in Ohio with the most Internship R Programming Language job openings:

Internship R Programming Language jobs near you

Manager, Research and Development

Beachwood, OH • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 5 days ago

Job description

  • Develop statistical methods and procedures to ensure data validity, applicability, efficiency, and accuracy
  • Design and develop data sampling techniques and statistical methods to solve business and technical problems
  • Address business user needs and answer business and research questions
  • Determine whether statistical methods are appropriate based on user needs or research questions
  • Develop and manage software applications or programming for statistical modeling and graphic analysis
  • Manage analysts updating predictive models, reports, and data pulls
  • Consult on creation of new models, reports, and data pulls
  • Draw insights and make recommendations based on assigned analyses and team projects
  • Serve as a subject matter expert in multiple areas
  • Advance modeling techniques and available hardware/software big data solutions
  • Respond to ad-hoc requests
  • Prepare department business plans, staffing projections, and budgets
  • Requisition supplies and materials and review budgets for cost reduction
  • Interview and/or approve job applicants
  • Conduct and/or review performance appraisals
  • Initiate or approve salary adjustments, performance ratings, and personnel changes
  • Counsel associates and take disciplinary action or terminate employment as appropriate
  • Supervise and instruct workers on data collection, processing, tabulation, and statistical data interpretation
  • Manage large amounts of data processing for statistical modeling and graphic analysis using computers
Requirements
  • Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus seven (7) years of experience in the job offered or related occupation
  • Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus five (5) years of experience in the job offered or related occupation
  • Experience with SAS SQL
  • Experience with cloud databases
  • Experience with R programming language
  • Experience with Excel VLOOKUP, pivot tables, charts, and graphing
  • Experience analyzing data using statistical, mathematical, or data mining methods
  • Experience with insurance rating products and principles
  • Experience with Claims, Underwriting, Marketing, or Agent functions
  • Experience with process control and project management
  • May require pre-hire technical screen
  • Must be able to report to the local office
Core Competencies

Demonstrates expertise in statistical methods, data analysis, and predictive modeling, with a strong foundation in programming languages such as R and SQL. Capable of managing teams, overseeing data processing, and providing insights to drive business decisions.

Highest-signal resume keywords
  • Statistical Modeling
  • R Programming Language
  • SAS SQL
  • Data Analysis
  • Cloud Databases
Hard Skills
  • Statistical Methods
  • Data Sampling Techniques
  • Predictive Modeling
  • Data Mining Methods
  • Excel VLOOKUP
  • Pivot Tables
  • Graphing
  • Data Processing
  • Business Analysis
  • Project Management
Soft Skills
  • Team Leadership
  • Communication
  • Problem Solving
  • Counseling
  • Performance Management
Industry Keywords
  • Insurance Rating Products
  • Claims
  • Underwriting
  • Marketing
  • Agent Functions
Tools & Technologies
  • Cloud Databases
  • Statistical Software
  • Data Visualization Tools
  • Business Intelligence Tools
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