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R Shiny Contract Jobs (NOW HIRING)

SwiftCruit

Data Scientist Senior

Fort Liberty, NC · On-site

$106.25 - $143.75/hr

... Tableau, or R Shiny. * Design and implement algorithms using languages such as Python and R ... Due to US Government Contract Requirements, only US Citizens are eligible for this role. GDIT IS ...

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UKG

Data Scientist (TS/SCI req'd)

Tampa, FL · On-site

$80 - $120/hr

... Microsoft Power BI, and R Shiny, and communicates complex concepts and hypotheses to a ... This position is contingent on contract award. * Moderate noise (i.e. business office with ...

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How much do r shiny contract jobs pay per year?

As of Aug 8, 2026, the average yearly pay for r shiny contract 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 an R Shiny contractor?

An R Shiny contractor is a professional who specializes in developing interactive web applications using R Shiny, a framework for building web apps directly from R. These contractors are typically hired on a project basis to design, build, and deploy dashboards, data visualization tools, or custom analytical solutions for organizations. Their work often includes collaborating with data scientists, interpreting data requirements, and ensuring the usability and performance of Shiny applications. R Shiny contractors may also provide maintenance, troubleshooting, and optimization services for existing apps.

What is the difference between R Shiny Contract vs Data Analyst?

AspectR Shiny ContractData Analyst
Required credentialsProficiency in R, Shiny, data visualizationDegree in statistics, data science, or related field
Work environmentProject-based, often remote, client-focusedOffice or remote, corporate or consulting settings
Employer/industry usageTech, healthcare, finance, consultingFinance, marketing, healthcare, retail
Search/Comparison intentFocus on contract roles involving R Shiny developmentFocus on data analysis roles using various tools

R Shiny Contract roles typically involve short-term projects requiring expertise in R and Shiny for building interactive dashboards. Data Analyst positions are broader, often requiring skills in data manipulation, visualization, and reporting across industries. While both roles involve data work, R Shiny Contract roles are specialized in R Shiny development, whereas Data Analysts may use multiple tools and techniques for data insights.

What are the key skills and qualifications needed to thrive as an R Shiny contractor?

To thrive as an R Shiny Contractor, you need strong proficiency in R programming, experience with Shiny app development, and a solid understanding of data analysis and visualization. Familiarity with version control systems like Git, deployment tools such as Shiny Server or RStudio Connect, and relevant certifications in data science or analytics are typically required. Excellent problem-solving, communication, and project management skills help you collaborate effectively with clients and stakeholders. These abilities are crucial for delivering high-quality, interactive data applications that meet client needs and function reliably in production environments.

What are some common challenges faced by R Shiny contractors when working with client data and how can they be addressed?

R Shiny contractors often encounter challenges related to integrating and cleaning diverse client datasets, ensuring data security, and adapting Shiny applications to specific business needs. To address these, it’s important to establish clear data requirements upfront, use robust data validation techniques, and communicate regularly with clients about their data sources and security protocols. Additionally, documenting code and creating modular, scalable app components can help ensure the application remains maintainable and adaptable as client needs evolve.
More about R Shiny Contract jobs
What cities are hiring for R Shiny Contract jobs? Cities with the most R Shiny Contract job openings:
What are the most commonly searched types of R Shiny jobs? The most popular types of R Shiny jobs are:
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What job categories do people searching R Shiny Contract jobs look for? The top searched job categories for R Shiny Contract jobs are:
R Shiny Contract jobs near you
Infographic showing various R Shiny Contract job openings in the United States as of August 2026, with employment types broken down into 63% Full Time, 5% Part Time, and 32% Contract. Highlights an 68% In-person, 5% Hybrid, and 27% Remote job distribution, with an average salary of $85,048 per year, or $40.9 per hour.

Senior Data Scientist Contractor (1099)

Wired People Inc

Orlando, FL • On-site

$165 - $262/hr

Other

Posted yesterday

New

Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.

In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable.

We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients.

Key Responsibilities

  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.
  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.
  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.
  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.
  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.
  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.
  • Programming: Advanced proficiency in R and strong SQL and database management experience.
  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.
  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).
  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

  • Education: PhD or extensive applied Data Science experience in a related field.
  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.
  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

  • Cloud Platform: Azure Databricks
  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments
  • Data Engineering: ETL/ELT pipeline development
  • Databases: Relational and NoSQL databases
  • Data Management: Data governance and strict access controls
  • MLOps: Productionizing and deploying machine learning models

Additional Information

  • Job Type: Contract (1099)
  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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