Expert R Programmer/Data Scientist Needed
Budget: $250 – $750 USD
Data Scientist (R / Statistical Modeling)
Company Overview:
We are an outsourcing and analytics-driven contract team specializing in data modeling, business intelligence, and research analytics. We’re looking for a Data Scientist skilled in R and statistical methods.
Job Summary:
You’ll apply statistical modeling, hypothesis testing, and data visualization to uncover trends and support decision-making for client projects across multiple sectors.
Responsibilities:
Analyze data using R (tidyverse, ggplot2, caret).
Build and interpret regression, time-series, and Bayesian models.
Perform hypothesis testing and predictive analytics.
Visualize findings with R Markdown or Shiny dashboards.
Support stakeholders with data-driven recommendations.
Requirements:
3+ years of professional experience in data analysis or statistics.
Proficient in R programming and data visualization.
Strong understanding of probability, sampling, and inference.
Familiarity with SQL and basic Python for data wrangling.
Preferred Skills:
Knowledge of data pipelines or ETL tools.
Experience in healthcare, finance, or research analytics.
Compensation:
$45–$85 per hour or $95,000–$155,000 annually.
Company Overview:
We are an outsourcing and analytics-driven contract team specializing in data modeling, business intelligence, and research analytics. We’re looking for a Data Scientist skilled in R and statistical methods.
Job Summary:
You’ll apply statistical modeling, hypothesis testing, and data visualization to uncover trends and support decision-making for client projects across multiple sectors.
Responsibilities:
Analyze data using R (tidyverse, ggplot2, caret).
Build and interpret regression, time-series, and Bayesian models.
Perform hypothesis testing and predictive analytics.
Visualize findings with R Markdown or Shiny dashboards.
Support stakeholders with data-driven recommendations.
Requirements:
3+ years of professional experience in data analysis or statistics.
Proficient in R programming and data visualization.
Strong understanding of probability, sampling, and inference.
Familiarity with SQL and basic Python for data wrangling.
Preferred Skills:
Knowledge of data pipelines or ETL tools.
Experience in healthcare, finance, or research analytics.
Compensation:
$45–$85 per hour or $95,000–$155,000 annually.