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Junior R Shiny Developer Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Norfolk, VA · On-site

$87K - $134K/yr

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

Senior Data Analyst

Norfolk, VA · On-site

$87K - $134K/yr

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

Airflow, Redis, Flask/Django/FastAPI, SQL, R-Shiny/Dash/Streamlit. * Openness to evaluate and adopt emerging technologies and programming languages as needed. * Public contributions or demos on ...

... , and Engineering, Solutions Architecture and IT Business Analytics (ESA-BAD) Division by ... This effort integrates tools such as SEMOSS, Python, R, and AI-driven analytics to develop ...

Jr. Programmer/ Analyst

Hampton, VA · On-site

$37K - $40K/yr

Salary: $37,000.00 - $40,000.00 Semi-Monthly Location : 200 William R. Harvey Way, Hampton, VA ... Jr. Programmer/Analyst to provide Tier I/II technical support assisting users with various Banner ...

Mentor junior and mid-level developers * Contribute to architecture decisions and long-term ... R. part 471, Appendix A to Subpart A)

Junior Enterprise Architect

Dahlgren, VA · On-site

$140K - $200K/yr

... Junior Enterprise Architect . The Senior Systems Analyst serves as Key Personnel under the NSWCDD ... Deep understanding of DoD systems engineering lifecycle, system testing, and database management ...

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Junior R Shiny Developer information

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 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 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 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 the most commonly searched types of R Shiny Developer jobs in Virginia? The most popular types of R Shiny Developer jobs in Virginia are:
Computational Modeling Data Analyst

Computational Modeling Data Analyst

Innovative Reasoning LLC

Quantico, VA

Full-time

Re-posted 5 days ago


Job description

Provide on-site Computational Modeling Data Analysis, and subject matter expertise in support to Maritime Expeditionary Warfare, Headquarters Marine Corps, Deputy Commandant for Combat Development & Integration, Marine Corps Combat Development Command, located at Quantico, VA.

Responsibilities/Duties:

  • Reporting and Dashboards:
    • Identify and extract essential information from web instances or Excel files.
    • Once identified, data must be shown effectively/efficiently through presentations, working papers, and various dashboard technologies to inform leaders.
  • Simulation modeling and analysis:
    • Apply quantitative data science techniques (statistics, mathematics, computer science, and physics) to analyze naval capability portfolio performance, cost and optimization, multi-objective decision-making, sensitivity analysis.
  • Risk Analysis:
    • Apply Qualitative, quantitative and decision risk analysis techniques for risk identification/evaluation, risk handling, risk monitoring and risk management.
    • Conduct Quantitative Risk Analysis including:
      • Probabilistic Risk Assessment of platform performance, cost, and schedule.
      • Decision Risk Analysis includes applying risk and cost benefit techniques in decision making associated with significant risk or uncertainty.
    • Probability and statistical analysis:
      • Provide analytic process models, including various probability distributions (normal, binomial, Poisson, exponential, lognormal), probabilistic measures of system performance, data summaries (graphical and numerical), confidence intervals, hypothesis tests, regression analysis (single and multiple predictors), single-factor analysis of variance, and basic time-series analysis.

Supplemental Duties:

  • Provide essential actions required to develop relational databases and management systems using Microsoft Excel, Access, or other Department of Defense-approved database tools.
    • Includes extracting information from multiple and diverse large data sets, as well as storing, retrieving, managing, and controlling data.

Supervisory Responsibilities:

  • None

Education:

REQUIRED

  • Bachelor of Science (BS) in Data Science/Analytics, Mathematics, Statistics, or Engineering.

PREFERRED

  • BS in Computational Modeling & Data Analytics.

Skills/Qualifications and Certifications:

  • Must be comfortable presenting work to audience; must have ability to present and engage in a technical presentation to a non-technical audience.

Experience:

  • Experience in RStudio (preferred), or Python.
  • Experience in building dashboards: Power BI, R Shiny, Tableau, etc.

Location: The primary workplace will be the Marine Corps Combat Development Command, General Raymond G. Davis Center (Bldg. 3300), 3300 Russell Rd, Quantico, VA 22134.

Work Environment:

  • On-site Office Environment, amongst mixed military/civilian/contractor personnel.
  • Employees will be exposed to a wide variety of people with differing functions, personalities, and abilities.
  • Remote work may be authorized, in coordination with client.

Physical Demands:

  • Work is generally sedentary; there could be a requirement to assist in moving and repositioning computer systems, servers, and other office equipment weighing no more than 50 pounds per person (e.g., two-man lift 100 lbs.).
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Schedule: Full Time/40 hours per week.  Mon-Fri/8 hours a day. Normal working hours are 8:00 AM – 4:00 PM (0800 – 1600).

License and Other Requirements:

  • Hold a valid US Driver’s License, with ability to operate private, and commercial owned motor vehicles (Rental), as required for commuting and travel.
  • Must be able to obtain a contractor's common access card, which will stand as identification for instructors and will enable them to access government owned computer equipment and Non-secure Internet Protocol.

Salary and Benefits: As stated during the interview/hiring process.

Security Clearance: Possess or be eligible to posses an active U.S. Secret level security clearance.  As required, obtain a Secure Internet Protocol (SIPR) access token for access to government SIPR computers terminals.

Travel: Travel to other government and/or contractor facilities, and/or ships may be required.  Travel may be required on weekends and could include CONUS and OCONUS locations.  The exact dates and duration of travel will vary dependent upon location and requirements of individual events to include planning, attendance at meetings, conferences, and/or wargames.