R Programming Lead for Advanced Analytics
hace 2 días
Scale Up Recruiting Partners is currently looking for an accomplished Senior R Developer to join their agile team. This role will be responsible for developing and executing advanced data analysis and software development projects, utilizing R programming language to drive business growth and success.
Key Responsibilities- Project Leadership: Manage and execute advanced data analysis and software development projects using R, collaborating closely with cross-functional teams to deliver high-quality results.
- Statistical Modeling: Conduct sophisticated statistical analyses and modeling to extract valuable insights from complex data sets, enabling informed decision-making.
- Data Pipeline Development: Design and implement efficient data processing pipelines, ensuring data integrity and accuracy.
- Software Engineering: Write, test, and deploy robust R code for data analysis, visualization, and reporting.
- Mentorship and Guidance: Provide guidance and mentorship to junior R developers, promoting best practices and collaboration within the team.
- Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand their needs and develop tailored solutions that meet business objectives.
- Code Quality Assurance: Conduct regular code reviews to ensure code quality, performance, and adherence to best practices.
- Documentation and Knowledge Sharing: Create and maintain comprehensive documentation for developed code and methodologies, facilitating knowledge sharing and onboarding new team members.
- Staying Current: Stay updated with the latest developments in R programming and data science to bring innovative solutions to the team, driving business forward.
- Experience: Minimum of 5 years of professional experience in R development, with a proven track record of delivering high-quality results.
- 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 and Problem-Solving Skills: Excellent problem-solving skills with the ability to interpret complex data and provide actionable insights.
- Communication and Collaboration: Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Adaptability and Innovation: Comfortable exploring and adopting new libraries or frameworks as needs demand, with a willingness to participate in innovation towards new solutions to existing problems.
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