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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