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Shiny Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience. * Experience with machine learning classification, NLP, model evaluation, or predictive analytics. * Ability to inspect ...

Blackjack Pizza & Salads

Pizza Cook Wanted

Longmont, CO

$16 - $20/hr

This means that we want you to bring your bright, shiny, quirky personality to the table! This is a do-it-all job in a fast-paced environment, so if you're someone that doesn't want to do it all, or ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Fluency in contemporary data visualization methods like R Shiny, D3 * Data Integration: Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects ...

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization. * Develop dashboards, reports, and visualizations to communicate analytical findings. * Work with SQL ...

Core One

Data Scientist

Tampa, FL · On-site

Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the ...

Core One

Data Scientist

Tampa, FL

Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the ...

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Shiny information

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How much do shiny jobs pay per year?

As of Sep 6, 2026, the average yearly pay for shiny in the United States is $85,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a shiny developer?

Shiny developers are professionals who specialize in building interactive web applications using the Shiny framework in R. They design, develop, and maintain data-driven apps that allow users to visualize and analyze data dynamically. Shiny developers often work closely with data scientists and analysts to create dashboards, reporting tools, and data exploration platforms for businesses and research organizations.

What skills and qualifications are needed to thrive as a shiny developer?

To thrive as a Shiny Developer, strong skills in R programming, web application development, and data visualization are essential, often supported by a background in statistics or computer science. Familiarity with the Shiny package for R, version control systems like Git, and deployment tools such as Shiny Server or RStudio Connect is typically required. Excellent problem-solving, communication, and collaboration skills help Shiny Developers understand user needs and deliver effective solutions. These competencies are crucial for building interactive, reliable data-driven applications that meet organizational objectives and user expectations.

What are common challenges faced by shiny developers when building interactive web applications?

Shiny developers often encounter challenges related to optimizing application performance, especially as user interactions and data complexity increase. Managing reactive dependencies and preventing bottlenecks are key aspects, as inefficient code can lead to slow load times or unresponsive interfaces. Additionally, ensuring security and scalability when deploying Shiny apps in production environments requires familiarity with best practices and server configurations. Collaboration with data scientists and stakeholders is also essential to align features with user needs and maintain a smooth development workflow.

What is the difference between Shiny vs Data Analyst?

AspectShinyData Analyst
Required credentialsProficiency in R, JavaScript, HTML, CSSBachelor's degree in statistics, data science, or related field
Work environmentDeveloping interactive web applications, often in tech or data-driven companiesAnalyzing data, creating reports, and providing insights in various industries
Employer and industry usageTech companies, startups, data science teamsFinance, healthcare, marketing, consulting firms
Common search and comparison intentUnderstanding development skills and rolesData analysis and reporting tasks

Shiny is a web application framework for R, focusing on building interactive dashboards and apps. Data Analysts interpret data, create reports, and provide insights. While both roles involve working with data, Shiny developers specialize in creating interactive tools, whereas Data Analysts focus on analyzing and communicating data findings.

More about Shiny jobs

What states have the most Shiny jobs?

States with the most job openings for Shiny jobs include:

What job categories do people searching Shiny jobs look for?

The top searched job categories for Shiny jobs are:

Shiny jobs near you
Infographic showing various Shiny job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $85,048 per year, or $40.9 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 16 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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