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

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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