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Junior R Shiny Developer Jobs (NOW HIRING)

Goldbelt, Inc.

Bioinformatician

Atlanta, GA

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and ...

RightsHelper

Senior Data Scientist

$120K - $140K/yr

Support junior Data Science team members in efficiently resolving complex issues that extend beyond ... R Shiny, Tableau, D3), web programming languages (e.g. HTML, CSS, JavaScript), and general ...

Artefact

Jr Data Analyst - (Canada-based)

North, SC · On-site

Programming languages: Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure ... Web application (R-Shiny, Python Flask) that you have industrialized * Have a strong business ...

Peraton

DATA SCIENTIST

Herndon, VA · On-site

... engineering ecosystems. • Experience creating data analytics visualizations and dashboards using tools such as PowerBI, Tableau or R Shiny. • Experience working within notebook environments such ...

Peraton

Data Scientist

Herndon, VA · On-site

... engineering ecosystems. • Experience creating data analytics visualizations and dashboards using tools such as PowerBI, Tableau or R Shiny. • Experience working within notebook environments such ...

Daiichi Sankyo, Inc.

... R Shiny App) o Literature review and meta-analysis Collaborate with cross-functional teams to ... junior programmers, fellows and team members. Ability and interest to work across cultures and ...

Quanta Search

Jr. Quantitative Developer

Manhattan, NY

$73.20K - $95K/yr

As a Jr. Quantitative Developer, you wil l: Build research tools and applications for processing ... Python, R, and possibly Matlab Firm grasp of data structures and algorithms and knowledge of their ...

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Junior R Shiny Developer information

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How much do junior r shiny developer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for junior r shiny developer in the United States is $88,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $87,000.00 per year, depending on experience, location, and employer.

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 are Junior R Shiny Developers?

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 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.

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Junior R Shiny Developer jobs near you
Digital Personalization Analytics Expert (Remote)

Digital Personalization Analytics Expert (Remote)

KOHLS

Menomonee Falls, WI

Other

Posted 27 days ago

Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th of 21 rated department stores

Job description

This position can be remote; however, if you reside near our offices in Menomonee Falls, WI, or New York City, NY, we request that you work onsite from Monday through Thursday, with the option to work remotely on Fridays.

About the Role

In this role you will ensure the creation of best-in-class digital experiences for Kohl’s customers using advanced analytics geared toward diagnostics, customer-level 1:1 modeling and in-market testing.

What You’ll Do

  • Leverage large-scale data and advanced analytics to optimize digital customer engagement and lifetime value

  • Lead end-to-end data science initiatives, from problem framing and exploratory analysis through model development, validation and production deployment

  • Drive consolidation of insights across digital initiatives to continuously enhance data-driven targeting and personalization strategies

  • Oversee test design and activation, ensuring model execution, audience segmentation and timelines are delivered effectively to stakeholders

  • Establish rigorous documentation standards for analytics assets, experiments and insights to enable knowledge sharing and scalability

  • Mentor junior data scientists, providing technical guidance and fostering a culture of continuous learning and excellence

  • Represent the Data Science team in cross-functional forums, independently communicating methodologies, results and strategic implications

  • Champion production-grade machine learning practices, promoting scalable code and robust deployment standards

  • Stay current on emerging data science methodologies and technologies, identifying and driving innovation opportunities that create business impact

  • Establish and maintain strong working relationships and achieve results by working collaboratively with others

  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or a related quantitative field

  • 5+ years (or 2+ years with a Master’s degree) of progressively complex data science experience

  • Expertise in developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Expert in using modern analytics tools, programming languages and cloud platforms (Python, R, Spark, SQL, GCP, etc.), as well as version control systems such as GitHub

  • Strong problem-solving skills with experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterating quickly

  • Experience with data visualization technologies such as Streamlit, R Shiny, Looker, Qlik, Tableau, etc.

Preferred

  • Master's degree and/or Ph.D.

  • Digital / Ecommerce data science experience

  • Retail and Marketing experience

What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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