R Data Science Lead

hace 15 horas

Caracas, Distrito Federal, Venezuela Scale Up Recruiting Partners A tiempo completo
Scale Up Recruiting Partners

We are seeking a highly skilled Senior R Developer to lead complex projects and collaborate with cross-functional teams.

About the Role:

The ideal candidate will have a strong background in software development using R, with a deep understanding of data science and statistical analysis. This role involves managing and executing advanced data analysis and software development projects, ensuring timely delivery and high-quality results.

Key Responsibilities:
  • Lead Development Projects: Manage and execute advanced data analysis and software development projects using R, ensuring timely delivery and high-quality results.
  • Statistical Analysis: Conduct sophisticated statistical analyses and modeling to extract insights from complex data sets.
  • Data Management: Develop and maintain data processing pipelines, ensuring data integrity and accuracy.
  • Software Development: Write, test, and deploy efficient R code for data analysis, visualization, and reporting.
  • Mentorship: Provide guidance and mentorship to junior R developers, promoting best practices and fostering a collaborative team environment.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their needs and develop appropriate solutions.
Requirements:
  • Experience: Minimum of 5 years of professional experience in R development.
  • Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Technical Skills:
    • 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.
  • Analytical Skills: Excellent problem-solving skills with the ability to interpret complex data and provide actionable insights.
  • Communication: Strong verbal and written communication skills.
  • Adaptability: Comfortable exploring and adopting new libraries or frameworks as needs demand.
  • Leadership: Ability to work in a fast-paced environment and manage multiple projects simultaneously.
PREFERRED QUALIFICATIONS:
  • Big Data Technologies: Experience interacting with big data technologies (e.g., Hadoop, Spark) through R/Python.
  • Machine Learning Algorithms: Knowledge of machine learning algorithms and frameworks.
  • Project Leadership: Proven experience in leading projects and mentoring junior team members.

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