R Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an R Developer with proven experience in R programming, machine learning libraries, and statistical methods. It is a remote position requiring proficiency in data manipulation, visualization, and R package development. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Analysis #R #Libraries #ML (Machine Learning) #Data Manipulation #Visualization #Programming
Role description
Job Title : 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, randomForest, 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
Job Title : 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, randomForest, 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
