... natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing ... R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering ...
... natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing ... R, Python (NumPy, SciPy, Pandas) or similar analytical languages. • Perform data engineering ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Wilmington, NC · Remote
$139.98K - $168.19K/yr
Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc.
Machine Learning Engineer New Grad 2024-2025 -Remote
Wilmington, NC · Remote
$139.98K - $168.19K/yr
Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc.
D. students to have an internship in our fast moving team. You will have the opportunity to work on ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
D. students to have an internship in our fast moving team. You will have the opportunity to work on ... Strong programming (Python, C++) and algorithmic skills. * Good communication skills. Curious ...
Internship R Programming Language information
See Wilmington, NC salary details
$8.51 - $9.75
2% of jobs
$9.75 - $11
2% of jobs
$11 - $12.24
3% of jobs
$12.24 - $13.48
17% of jobs
$13.55 is the 25th percentile. Wages below this are outliers.
$13.48 - $14.72
18% of jobs
The median wage is $15.39 / hr.
$14.72 - $15.97
16% of jobs
$15.97 - $17.21
11% of jobs
$17.60 is the 75th percentile. Wages above this are outliers.
$17.21 - $18.45
20% of jobs
$18.45 - $19.69
6% of jobs
$19.69 - $20.93
3% of jobs
$20.93 - $22.18
2% of jobs
$8
$16
$22
How much do internship r programming language jobs pay per hour?
As of Jun 1, 2026, the average hourly pay for internship r programming language in Wilmington, NC is $16.13, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $17.93 per hour, depending on experience, location, and employer.
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 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 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 is the difference between Internship R Programming Language vs Data Analyst?
| Aspect | Internship R Programming Language | Data Analyst |
|---|---|---|
| Required Credentials | Basic programming skills, often pursuing or recent graduates | Bachelor's degree in related field, some certifications |
| Work Environment | Internship setting, entry-level projects | Full-time or part-time professional role |
| Industry Usage | Used for data analysis, visualization, and statistical tasks | Analyzes 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 Wilmington, NC? For Internship R Programming Language jobs in Wilmington, NC, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Wilmington, NC look for? The top searched job categories for Internship R Programming Language jobs in Wilmington, NC are:
What cities near Wilmington, NC are hiring for Internship R Programming Language jobs? Cities near Wilmington, NC with the most Internship R Programming Language job openings:
Full-time
Posted 4 days ago
Job description
Job Summary:
Clarity Innovations, Inc. is a trusted national security partner dedicated to safeguarding national interests and delivering innovative solutions for the Intelligence Community and Department of Defense. They are seeking a Senior Principal Data Scientist to support a U.S. Special Operations Command program, focusing on leveraging data for effective analysis and decision-making, with a direct impact on mission readiness.
Responsibilities:
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals.
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
• Be capable of instructing others on the use of Data Science practices and capabilities.
Qualifications:
Required:
• A minimum of 6 years of hands-on Data Science experience is required.
• A Bachelor's degree in a STEM field is required.
• Proficiency in one or more programming languages (Java, C++, Python, R, etc.)
• Demonstrated experience applying data science methods to real-world data problems.
• Proficiency in Agile Development and GIT Operations
• A Top Secret Clearance with SCI Eligibility
Preferred:
• Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Company:
We focus on the future: identifying and delivering solutions that transform the process and practice of teaching in a global society. Founded in 1996, the company is headquartered in Portland, Oregon, US, , with a team of 11-50 employees. The company is currently Early Stage.
Clarity Innovations, Inc. is a trusted national security partner dedicated to safeguarding national interests and delivering innovative solutions for the Intelligence Community and Department of Defense. They are seeking a Senior Principal Data Scientist to support a U.S. Special Operations Command program, focusing on leveraging data for effective analysis and decision-making, with a direct impact on mission readiness.
Responsibilities:
• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals.
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
• Be capable of instructing others on the use of Data Science practices and capabilities.
Qualifications:
Required:
• A minimum of 6 years of hands-on Data Science experience is required.
• A Bachelor's degree in a STEM field is required.
• Proficiency in one or more programming languages (Java, C++, Python, R, etc.)
• Demonstrated experience applying data science methods to real-world data problems.
• Proficiency in Agile Development and GIT Operations
• A Top Secret Clearance with SCI Eligibility
Preferred:
• Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
Company:
We focus on the future: identifying and delivering solutions that transform the process and practice of teaching in a global society. Founded in 1996, the company is headquartered in Portland, Oregon, US, , with a team of 11-50 employees. The company is currently Early Stage.