R Engineer

Key Responsibilities

• Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Your Profile

• 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
• Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
• Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
• Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
• Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
• Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
• Minimum Bachelor’s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
• Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
• Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
• Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.