R Developer

R Developer

Posted 3 days ago by 1753857910

Negotiable
Outside
Remote
USA

Summary: The R Developer role requires a skilled professional with proven experience in R programming and familiarity with machine learning libraries. The position emphasizes data analysis, statistical methods, and R package development. The role is fully remote and classified as outside IR35.

Key Responsibilities:

  • Develop and maintain R packages.
  • Implement and validate complex statistical models.
  • Perform data manipulation and transformation using relevant R packages.
  • Utilize machine learning libraries and frameworks in R.
  • Create data visualizations using tools like ggplot2.
  • Apply statistical methods and data analysis techniques.

Key Skills:

  • Proven experience as an R Developer or in a similar role.
  • Strong proficiency in R programming language and RStudio.
  • Familiarity with machine learning libraries (e.g., caret, random Forest, xgboost).
  • Solid understanding of statistical methods and data analysis techniques.
  • Experience with R packages development and maintenance.
  • Proficiency in data manipulation using dplyr, tidyr, data.table.
  • Knowledge of data visualization tools such as ggplot2.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Role : R Developer

Location : Remote

Here is the job description:

Proven experience as an R Developer or in a similar role.

Strong proficiency in R programming language and RStudio.

Familiarity with machine learning libraries and frameworks in R (e.g., caret, random Forest, xgboost).

Solid understanding of statistical methods and data analysis techniques.

Experience with R packages development and maintenance.

Proficiency in data manipulation and transformation using dplyr, tidyr, data.table, and other relevant packages.

Knowledge of data visualization tools such as ggplot2.

Experience in implementing and validating complex statistical models