R Data Scientist information
See salary details
$66.4K - $80.9K
6% of jobs
$80.9K - $95.3K
9% of jobs
$100K is the 25th percentile. Wages below this are outliers.
$95.3K - $109.8K
15% of jobs
The median wage is $119.4K / yr.
$109.8K - $124.2K
22% of jobs
$132.2K is the 75th percentile. Wages above this are outliers.
$124.2K - $138.7K
32% of jobs
$138.7K - $153.1K
3% of jobs
$153.1K - $167.6K
4% of jobs
$167.6K - $182K
1% of jobs
$182K - $196.5K
2% of jobs
How much do r data scientist jobs pay per year?
As of Sep 6, 2026, the average yearly pay for r data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
An R Data Scientist is a professional who uses the R programming language to analyze data, build statistical models, and generate insights for decision-making. They often work with large datasets, applying machine learning, data visualization, and statistical techniques to solve complex business or research problems. R Data Scientists are skilled in data manipulation, exploratory analysis, and creating reproducible workflows, and they commonly work in industries such as healthcare, finance, and technology.
R Data Scientists frequently work alongside data engineers, business analysts, and subject matter experts to translate business goals into actionable data solutions. Collaboration often involves participating in meetings to understand project requirements, sharing analytical findings, and iterating on predictive models based on feedback. Clear communication is essential, as R Data Scientists must explain complex statistical concepts to non-technical stakeholders and ensure that data-driven recommendations align with business objectives. This collaborative environment fosters innovation and helps ensure that data science initiatives deliver measurable value.
To thrive as an R Data Scientist, you need strong expertise in statistical analysis, data wrangling, and programming in R, generally backed by a degree in statistics, mathematics, or computer science. Experience with RStudio, packages like dplyr and ggplot2, and familiarity with database systems or cloud platforms are highly valued. Critical thinking, problem-solving, and effective communication skills help convey insights to stakeholders and collaborate with diverse teams. These combined skills are essential for turning complex data into actionable business solutions and driving data-driven decision-making.
Data scientists remain in high demand across industries due to the increasing reliance on data-driven decision making. Skills in programming languages like R and Python, along with knowledge of machine learning and statistical analysis, are highly valued by employers seeking to leverage big data for competitive advantage.
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