Sr. R Shiny Developer (Latam - Remote) (Recoleta)

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
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