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R Shiny - Lead

R Shiny - Lead

Iris Software

2 - 5 years

7 - 11 Lacs

Noida

Posted:4 days ago| Platform:

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Skills Required

ux ui r shiny ui/ux ux design python it services health insurance photoshop machine learning financial services javascript transportation sql r data science xml devops debugging statistical modeling data visualization etl product engineering

Work Mode

Work from Office

Job Type

Full Time

Job Description

An R Shiny web developerbuilds interactive data visualization and analysis tools using the R programming language and the Shiny framework.They design, develop, and deploy dashboards and applications that allow users to explore and manipulate data dynamically.This role often involves data manipulation, UI/UX design, and ensuring the application runs efficiently.
Here's a more detailed breakdown of an R Shiny web developer's responsibilities:Responsibilities:

Building and Maintaining Shiny Applications:
- Designing, developing, and maintaining interactive dashboards and applications using R and Shiny.
- Implementing user interfaces (UI) and server-side logic.
- Ensuring applications are visually appealing and user-friendly.
- Updating existing applications based on changes in functionality or requirements.
- Debugging and testing applications to ensure they function correctly.
Data Handling and Manipulation:
- Analyzing datasets, both structured and unstructured, to identify relationships and prepare data for loading into databases.
- Creating and managing data pipelines and ETL (Extract, Transform, Load) processes.
Data Visualization and Reporting:
- Developing visualizations, reports, and dashboards using R Shiny.
- Creating data pipelines that integrate various data sources to create comprehensive visualizations.
Collaboration and Communication:
- Working closely with other developers, data scientists, and subject matter experts.
- Communicating technical information clearly and concisely.
- Proposing solutions to technical challenges and application improvements.

Mandatory Competencies

Data Science and Machine Learning - Data Science and Machine Learning - R Shiny

User Interface - Other User Interfaces - JavaScript

Beh - Communication and collaboration

UX - UX - Photoshop

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R Shiny - Lead