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Senior R/Shiny Developer | All LATAM Countries | Fully Remote

Posted about 1 month agoViewed

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💎 Seniority level: Senior, Minimum of 5 years

📍 Location: Argentina, Uruguay, Peru, Paraguay, Colombia

🔍 Industry: Interactive media strategy and development

🏢 Company: Halo Media👥 11-50InternetConsultingWeb DevelopmentAppsMarketingMobileWeb DesignSoftware

🗣️ Languages: English

⏳ Experience: Minimum of 5 years

🪄 Skills: SQLGitHadoopMachine LearningSparkData visualizationData management

Requirements:
  • Minimum of 5 years of professional experience in R development.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
  • Proficiency in R programming language and its core packages (dplyr, ggplot2, tidyr, etc.).
  • Strong understanding of statistical methods and data analysis techniques.
  • Experience with version control systems (e.g., Git).
  • Familiarity with database management and SQL.
  • Knowledge of other programming languages (e.g., Python) is a plus.
  • Excellent problem-solving skills with the ability to interpret complex data and provide actionable insights.
  • Strong verbal and written communication skills.
  • Comfortable exploring and adopting new libraries or frameworks as needs demand.
  • Eager to participate in innovation towards new solutions to existing problems.
  • Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Responsibilities:
  • Manage and execute advanced data analysis and software development projects using R, ensuring timely delivery and high-quality results.
  • Conduct sophisticated statistical analyses and modeling to extract insights from complex data sets.
  • Develop and maintain data processing pipelines, ensuring data integrity and accuracy.
  • Write, test, and deploy efficient R code for data analysis, visualization, and reporting.
  • Provide guidance and mentorship to junior R developers, promoting best practices and fostering a collaborative team environment.
  • Work closely with data scientists, analysts, and other stakeholders to understand their needs and develop appropriate solutions.
  • Conduct code reviews to ensure code quality, performance, and adherence to best practices.
  • Create and maintain comprehensive documentation for developed code and methodologies.
  • Stay updated with the latest developments in R programming and data science to bring innovative solutions to the team.
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