Job Overview: Our client is seeking a highly skilled and experienced Senior R Developer to join our client's dynamic team.
The ideal candidate will have a strong background in software development using R with an understanding of data science and statistical analysis.
This role involves leading complex projects and collaborating with cross-functional teams to deliver high-quality data-driven solutions.
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.
Code Review: Conduct code reviews to ensure code quality, performance, and adherence to best practices.
Documentation: Create and maintain comprehensive documentation for developed code and methodologies.
Innovation: Stay updated with the latest developments in R programming and data science to bring innovative solutions to the team.
Required Qualifications: Experience: Minimum of 5 years of professional experience in R development.
Education: 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.
Eager to participate in innovation towards new solutions to existing problems.
Ability to work in a fast-paced environment and manage multiple projects simultaneously.
Preferred Qualifications: Experience interacting with big data technologies (e.g., Hadoop, Spark) through R/Python.
Knowledge of machine learning algorithms and frameworks.
Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Proven experience in leading projects and mentoring junior team members.
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