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Junior R Shiny Developer Jobs in North Carolina (NOW HIRING)

... junior team members. Responsibilities : • Working closely with other data scientists and ... programming skills in Python, R, or other relevant languages for data analysis. Company

Write code in Python/R using various statistical techniques and machine learning models, maintain ... Work with search engineers and data engineers in integrating ML models, analytics pipeline, work ...

Write code in Python/R using various statistical techniques and machine learning models, maintain ... Work with search engineers and data engineers in integrating ML models, analytics pipeline, work ...

Write code in Python/R using various statistical techniques and machine learning models, maintain ... Work with search engineers and data engineers in integrating ML models, analytics pipeline, work ...

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Junior R Shiny Developer information

What is a Junior R Shiny developer?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are the key skills and qualifications needed to thrive as a Junior R Shiny developer, and why are they important?

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What are some common challenges faced by Junior R Shiny developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.

What is the difference between Junior R Shiny Developer vs Data Analyst?

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

What are the most commonly searched types of R Shiny Developer jobs in North Carolina?

The most popular types of R Shiny Developer jobs in North Carolina are:

What job categories do people searching Junior R Shiny Developer jobs in North Carolina look for?

The top searched job categories for Junior R Shiny Developer jobs in North Carolina are:

Infographic showing various Junior R Shiny Developer job openings in North Carolina as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Senior Data Scientist III

Raleigh, NC • On-site

LexisNexis
IT Services • 10K+ employees

Full-time

Re-posted 26 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
LexisNexis Legal & Professional, part of RELX, provides information-based analytics and decision tools for professional and business customers. They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members.
Responsibilities:
• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models to solve complex business problems.
• Analyzing large datasets to identify patterns and trends that can inform AI development.
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Evaluating and creating new frameworks and defining methodologies and governance.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Working with product leaders to apply data science solutions.
• Leading small- to medium-sized teams (direct or indirect).
Qualifications:
Required:
• Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
• Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
• Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
• Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
• Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
• Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
• Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
• Possess advanced programming skills in Python, R, or other relevant languages for data analysis.
Company:
LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses. It is a sub-organization of RELX. Founded in 1970, the company is headquartered in Albany, USA, with a team of 10001+ employees. The company is currently Late Stage.

What LexisNexis employees say

Pay

Benefits

Hours and flexibility

Workplace

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