Join us as a Sr. R Shiny Developer (LATAM - Remote) at Scale Up Recruiting Partners .
This is a full‑time, 100% remote role open to candidates based in Latin America.
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
- 5+ years of professional experience with R, including building Shiny applications.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
- 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.
- Excellent problem‑solving and analytical abilities.
- Strong communication skills and 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.
Benefits
- 100% Remote work.
- Salary paid in USD.
- Work on impactful and challenging U.S.‑based projects.
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