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Internship R Programming Language Jobs in Vermont

Data Engineer

Burlington, VT ยท Hybrid

$114K - $138K/yr

Proficiencyin at least one programming language (Python, Java,R,etc),includingcreating programs for ETL, data pipelines,and entity resolution * Proficiencyinmultiple variants ofSQL,including complex ...

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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 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 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 are popular job titles related to Internship R Programming Language jobs in Vermont? For Internship R Programming Language jobs in Vermont, the most frequently searched job titles are:
What cities in Vermont are hiring for Internship R Programming Language jobs? Cities in Vermont with the most Internship R Programming Language job openings:
Data Engineer with Security Clearance

Data Engineer with Security Clearance

Thomson Reuters Special Services LLC

Burlington, VT โ€ข On-site

$112K - $135K/yr

Other

Posted 27 days ago


Job description

Job Description
Summary and Description Thomson Reuters Special Services (TRSS) is looking for a Data Engineer to support our Federal Law Enforcement customers. TRSS Data Engineers and Data Scientists serve several Federal Law Enforcement agencies by collecting, integrating, resolving, analyzing, modeling, and explaining large data in support of complex investigations. Success in this role requires strong technical depth, the initiative to operate with minimal direction, creativity to develop novel solutions, and a mission-focused mindset. TRSS supports the full range of Federal Law Enforcement missions including, but not limited to: Immigration Enforcement, Emerging Threat Detection, Money Laundering, Fraud, Force Protection, Human Rights Crimes, Transnational Crime, and more. Outside of contract work, you may contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening technical skills, and supporting business development efforts such as proof-of-concept projects and capabilities briefings. This opportunity is specifically for positions located on US Government customer sites in the Burlington, VT area. This is not a telework position. If you are passionate about the chance to put your skills to practice in support of Federal Law Enforcement, then we are looking for you! โ€‹ About the Role A successful candidate must possess the following minimum qualifications. Please ensure your resume and application clearly demonstrate that you have: United States Citizenship (essential to comply with government contract requirements). Ability to obtain and maintain a U.S. security clearance or agency work suitability determination, as required by assignment. Willingness to work full time, on-site, embedded at US Government offices in the Burlington, VT area. Bachelorโ€™s or Masterโ€™s Degree in a technical field At least 3 years of relevant experience, including some combination of: Proficiency in at least one programming language (Python, Java, R, etc), including creating programs for ETL, data pipelines, and entity resolution Proficiency in multiple variants of SQL, including complex queries, table and view creation, and database performance tuning Experience with managing enterprise databases and warehouses, particularly MS SQL Server, Databricks, Snowflake Data modeling across disparate data sources with a variety of formats and structures Ability to interface directly with customers at all levels and be a representative of TRSS. Ability to handle sensitive, confidential, or regulated data in accordance with applicable policies and requirements. Ability to work both independently and as a member of a team. Ability to interpret customer requests and/or problem statements into clear project plans, develop project goals and methods, and deliver actionable results within required timeframes. Additional Desired Skills Experience with Cloud data platforms (Azure, AWS, Snowflake, etc.) Experience with formal SDLC (Software Development Life Cycle) procedures Experience with version control software and methodology, preferably Github About you:โ€‹ Preference will be given to candidates who possess the minimum qualifications and the following preferred qualifications. Please ensure your resume and application clearly demonstrate that you have: Current/Active government work suitability or security clearance. Experience working with law enforcement agencies. Programming skills in multiple languages other than Python (Python is a minimum requirement) including R, Java, or SQL. Experience with software development, including managing collaborative codebases, version control, linting/testing, containerization, and interacting with REST APIs.