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Flex R Shiny Developer Jobs in Texas (NOW HIRING)

Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization ... Collaborate with business stakeholders, data engineers, and technical teams to understand ...

Programming experience in R or Python; * Work experience with clinical data; * Experience building Shiny web applications; and * Experience building dashboards is preferred (with either PowerBI ...

Programming experience in R or Python; * Work experience with clinical data; * Experience building Shiny web applications; and * Experience building dashboards is preferred (with either PowerBI ...

Programming experience in R; * Work experience with clinical data ... Experience building web applications is preferred (with either Shiny or Streamlit); and

Programming experience in R; * Work experience with clinical data ... Experience building web applications is preferred (with either Shiny or Streamlit); and

Senior Process Engineer

Dallas, TX · On-site

$80 - $100/hr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

Senior Process Engineer

Dallas, TX · On-site

$102K - $133K/yr

Apply SPC and stats tools (Minitab, Excel, R-Shiny) to maintain tight process control. * Leverage ... Partner with operations, quality, safety and engineering teams on short term and long term ...

... programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated ...

Python, R/Shiny, Tableau, Power BI * Experience with SQL and other modern data storage technologies ... Fluent in SQL * Ability to work independently with minimal Engineering support * Extensive ...

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Flex R Shiny Developer information

What is a Flex R Shiny developer?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

How does a Flex R Shiny developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

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

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

What are the most commonly searched types of R Shiny Developer jobs in Texas?

The most popular types of R Shiny Developer jobs in Texas are:

What job categories do people searching Flex R Shiny Developer jobs in Texas look for?

The top searched job categories for Flex R Shiny Developer jobs in Texas are:

What cities in Texas are hiring for Flex R Shiny Developer jobs?

Cities in Texas with the most Flex R Shiny Developer job openings:

Python/R Analyst

Richmond, TX • On-site

Other

Posted 11 days ago


Job description

Job Description

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in Python, R, data analysis, statistical modeling, and data visualization. The ideal candidate will analyze complex datasets, identify meaningful insights, and work with business and technical teams to support data-driven decision-making.

Key Responsibilities

  • Analyze large and complex datasets using Python and R.
  • Develop data analysis and statistical models to identify trends, patterns, and business insights.
  • Write clean, efficient, and reusable Python and R code for data processing and analysis.
  • Perform data cleaning, transformation, validation, and exploratory data analysis (EDA).
  • Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.
  • 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 databases to extract and analyze data.
  • Collaborate with business stakeholders, data engineers, and technical teams to understand requirements.
  • Present analytical findings and recommendations to technical and non-technical stakeholders.
  • Ensure data quality, accuracy, and consistency across analytical outputs.

Required Qualifications

  • 3+ years of professional experience with Python.
  • 3+ years of professional experience with R.
  • Strong experience with Pandas, NumPy, Matplotlib, and Seaborn.
  • Strong knowledge of R, Tidyverse, dplyr, and ggplot2.
  • Strong SQL skills and experience working with relational databases.
  • Experience with data cleaning, manipulation, and exploratory data analysis.
  • Strong understanding of statistics and data analysis techniques.
  • Experience creating data visualizations and analytical reports.
  • Strong problem-solving and analytical skills.
  • Excellent communication and stakeholder-management skills.

Preferred Qualifications

  • Experience with Machine Learning and predictive analytics.
  • Experience with Scikit-learn or other Python ML libraries.
  • Experience with R Shiny.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with Tableau or Power BI.
  • Experience working in Agile/Scrum environments.