We are seeking a highly skilled and motivated R Programming Expert to join our dynamic team. As an R Programming Expert, you will play a crucial role in designing, implementing, and optimizing data analysis and statistical modelling solutions. The ideal candidate will have extensive experience in R programming, a deep understanding of statistical methodologies, and the ability to translate complex data into actionable insights. Also need experience in dockers & containers.
Responsibilities:
1. Statistical Analysis and Modelling:
- Conduct statistical analyses on large datasets to extract meaningful patterns and insights.
- Develop and implement predictive models using advanced statistical techniques.
- Collaborate with cross-functional teams to design and execute statistical experiments.
2. Data Visualization:
- Create visually compelling and interpretable data visualizations using R and other relevant tools.
- Communicate findings to both technical and non-technical stakeholders through clear and concise visualizations.
3. Programming and Scripting:
- Develop, maintain, and optimize R scripts and programs for data analysis and modelling purposes.
- Troubleshoot and debug existing codebase to ensure accurate and efficient results.
4. Collaboration and Communication:
- Collaborate with data scientists, analysts, and other team members to understand project requirements and goals.
- Communicate complex technical concepts and analyses to non-technical stakeholders.
5. Quality Assurance:
- Conduct thorough testing of statistical models and analyses to ensure accuracy and reliability.
- Implement best practices for code review and version control.
Requirements:
Education:
- Bachelor's or master's degree in a relevant field such as Statistics, Data Science, Computer Science, or a related discipline.
Experience:
- Proven experience as an R Programming with a minimum of 2-3 years in data analysis and statistical modelling.
- Demonstrated expertise in data manipulation, statistical analysis, and visualization using R.
Technical Skills:
- Proficient in R programming language and associated packages (dplyr, ggplot2, tidyr, etc.).
- Strong understanding of statistical concepts and methodologies.
- Experience with other programming languages (Python, SQL) is a plus.
Problem-solving Skills:
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and collaboratively in a fast-paced environment.
