Senior R Shiny Developer (LATAM - Remote)
Full-time | Remote | USD Salary
About the Role
We are looking for a highly skilled and experienced Senior R Shiny Developer to join our client’s team and work on exciting, data-driven projects for U.S.-based clients. This is a 100% remote role open to candidates based in Latin America. If you're passionate about building impactful applications using R and Shiny, and enjoy collaborating in dynamic, cross-functional teams, we’d love to hear from you.
Key Responsibilities
Lead Development Projects: Execute advanced data analysis and build interactive web applications using R and Shiny.
Statistical Analysis: Perform sophisticated statistical modeling to uncover insights from complex datasets.
Data Management: Design and maintain efficient data pipelines, ensuring high data integrity and performance.
Application Development: Write, test, and deploy clean, efficient R code for analysis, visualization, and reporting.
Mentorship: Guide junior developers, foster a culture of collaboration, and promote best practices.
Collaboration: Work closely with data scientists, business analysts, and stakeholders to design tailored solutions.
Code Quality: Conduct peer code reviews and ensure alignment with development standards.
Documentation: Maintain detailed documentation of code, methodologies, and workflows.
Innovation: Stay current with the latest in R/Shiny and data science trends to drive continuous improvement.
Required Qualifications
Experience: 5+ years of professional experience with R, including building Shiny applications.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
Technical Skills:
Advanced proficiency in R and core packages (e.g., dplyr, ggplot2, tidyr, etc.).
Strong understanding of statistical modeling and data analysis.
Experience with version control (Git) and SQL.
Familiarity with additional languages like Python is a plus.
Soft Skills:
Excellent problem-solving and analytical abilities.
Strong communication skills with the ability to explain technical concepts clearly.
Comfortable working in fast-paced environments and juggling multiple projects.
Preferred Qualifications
Experience working with big data tools (Hadoop, Spark) through R/Python.
Familiarity with machine learning techniques and tools.
Proven ability to lead development projects and mentor other team members.
What’s in It for You
100% Remote Work
Salary paid in USD
Work on impactful and challenging U.S.-based projects
#J-18808-Ljbffr