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Remote R Shiny Developer Jobs in Columbus, OH (NOW HIRING)

Gifthealth

QA Specialist - Process Automation

Columbus, OH · On-site

$24 - $28/hr

Columbus, OH (Hybrid or Remote). * Schedule: Full-time, salaried. * Work is performed primarily using computer-based systems. Regular collaboration with the QA Lead and interaction with engineering ...

Nationwide

Sr Analyst, Data Solution Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... Applies secure software and systems engineering practices throughout the delivery lifecycle to ...

Safelite Group

Field Optimization Analyst

Columbus, OH · Remote

... programming tools (Python, R) is a plus. * Understanding of field capacity management, labor ... (Remote) : It is expected that you will primarily perform work remotely. You may be asked to travel ...

Aep

Telecommunication GIS Analyst

Gahanna, OH · On-site

$63K - $79K/yr

... engineering design files. * Assists in providing primary software maintenance including updates ... Integrates, coordinates and supports the geographic, cartographic, remote sensing and global ...

MCKESSON

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering , or ... Proficiency (4+ years) in Python (required) and experience with R * Advanced (4+ years) SQL and ...

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Remote R Shiny Developer information

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How much do remote r shiny developer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote r shiny developer in Columbus, OH is $47.65, according to ZipRecruiter salary data. Most workers in this role earn between $25.53 and $65.00 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote R Shiny Developers when collaborating with distributed teams?

Remote R Shiny Developers often encounter challenges such as coordinating across different time zones, ensuring clear communication regarding project requirements, and maintaining code consistency within a collaborative environment. To address these, teams typically rely on regular virtual meetings, shared documentation, and version control systems like Git. Building strong communication skills and being proactive in providing updates can help streamline teamwork and reduce misunderstandings, ultimately leading to more efficient project delivery.

What is a Remote R Shiny Developer?

A Remote R Shiny Developer is a software professional who specializes in building interactive web applications using the R programming language and the Shiny package, while working from a location outside of a traditional office setting. These developers are responsible for designing, coding, and maintaining Shiny apps that allow users to visualize and analyze data interactively. They often collaborate with data scientists, analysts, and business stakeholders to deliver solutions for data-driven decision making. Remote R Shiny Developers need strong skills in R programming, web development, and communication tools to work effectively in distributed teams.

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

To thrive as a Remote R Shiny Developer, you need strong proficiency in R programming, data visualization, and experience building interactive web applications with Shiny, often supported by a degree in computer science, statistics, or a related field. Familiarity with version control systems like Git, deployment tools such as Shiny Server or Docker, and knowledge of SQL databases are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively in remote teams and deliver user-focused solutions. These skills ensure robust, maintainable applications and smooth teamwork in a distributed work environment.

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

AspectRemote R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work EnvironmentRemote, project-based, software development teamsRemote or on-site, business intelligence teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

Remote R Shiny Developers focus on building interactive web applications using R and Shiny, often working in software or tech environments. Data Analysts analyze data sets to generate insights, typically using statistical tools and visualization software. While both roles may work remotely and require analytical skills, R Shiny Developers specialize in app development, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Remote R Shiny Developer jobs in Columbus, OH? For Remote R Shiny Developer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote R Shiny Developer jobs in Columbus, OH look for? The top searched job categories for Remote R Shiny Developer jobs in Columbus, OH are:
Remote R Shiny Developer jobs near you
Data Scientist

Data Scientist

Indotronix International Corporation

Columbus, OH • On-site

Full-time

Posted 15 days ago

Job description

Data Scientist | Columbus, Ohio, United States Job Summary: Senior Data Scientist - Enterprise Analytics (Banking)
Location: Columbus, OH (Remote flexibility) | Job Type: C2C
About the Role
Join a high-performing Enterprise Analytics team at a leading banking institution as a Senior Data Scientist. Fuel organizational growth through advanced analytics, data-driven insights, and opportunity discovery. Collaborate with cross-functional teams-including Product, Marketing, Data, Finance, and senior leadership-to optimize customer experience, drive business value, and influence strategic decisions. This is a highly visible role where you will leverage your technical expertise and communication skills to shape business outcomes in a fast-paced, innovative environment.
Responsibilities
- Design and implement advanced analytics and machine learning models to extract actionable insights from complex business data.
- Conduct large-scale experimentation and build data-driven models to answer strategic business questions.
- Research and apply emerging techniques in machine learning, deep learning, and artificial intelligence.
- Collaborate with business segments to identify opportunities for optimization and customer value delivery.
- Translate analytical findings into intuitive data visualizations and persuasive presentations for stakeholders and senior leadership.
- Partner with Agile teams throughout the project lifecycle, from ideation to delivery, on high-impact, enterprise-wide projects.
- Stay current on new technologies and tools to continuously improve analytics capabilities and solutions.
- Perform additional analytics duties as assigned to support organizational goals.
Required Skills and Experience
- Proficiency in Python and SQL for data analysis, modeling, and pipeline development.
- Strong analytical and statistical expertise, comfortable working with predictive models and large datasets.
- Experience communicating technical findings to business partners and non-technical audiences.
- Master's degree (or completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a related STEM field; OR Bachelor's degree with 3+ years' experience in analytics or data science.
- Hands-on experience with R, RStudio, SAS, and advanced statistical software.
Preferred Skills
- Knowledge of machine learning methodologies, predictive modeling, and Bayesian inference.
- Experience with big data tools, both structured and unstructured data sources, and scalable data pipelines.
- Familiarity with cloud ML technologies (e.g., AWS SageMaker), machine learning environments (e.g., TensorFlow, scikit-learn, caret), and web scraping.
- Background in financial services or consumer-centric organizations.
- Experience with data visualization tools (Tableau, Adobe Analytics/Target).
Benefits
- Work alongside a talented, collaborative, and centralized team of data science professionals.
- Influence strategic decisions and drive growth at an enterprise level.
- Exposure to cutting-edge analytics tools, technologies, and methodologies.
- Fast-paced, dynamic environment with significant opportunities for learning and professional advancement.
- Impactful projects with visibility to senior leadership and cross-functional partners.
How to Apply
If you are passionate about leveraging data to drive business value and ready to make a significant impact, we want to hear from you. Submit your resume highlighting your analytics, modeling, and communication skills. Candidates must be authorized to work without sponsorship. Background check and drug screen required.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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