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Data Science R Jobs in Washington (NOW HIRING)

... science or a related field * Strong proficiency in programming languages such as Python or R ... Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD. Design, develop, test, and support R programs to execute modeling application ...

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio Connect via CI/CD. * Design, develop, test, and support R programs to execute modeling application ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Herndon, VA · On-site

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Eight or more years of experience in data science, analytics, or machine learning in support of intelligence or defense missions. * Proficiency in Python, R, and SQL, and experience with data ...

... data science, artificial intelligence or machine learning * Proficiency with tools such as Postgresql/SQL, Python, R, and GitLab * Demonstrated experience with producing analytic insights from large ...

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

Data Scientist

Reston, VA

$112K - $179K/yr

Utilize major data science languages, such as R and Python. * Perform management and merging of disparate data sources, preferably through R, Python, or SQL. * Perform statistical analysis, and data ...

General information Job Posting Title Data Science Manager Date Tuesday, May 12, 2026 City Remote ... SQL, Python, R. - Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc ...

Data Scientist, Lead

Washington, DC · On-site

$85K - $201K/yr

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and ...

Write either R or Python scripts to drive data science work: flows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python or SQL; statistical ...

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Data Science R information

See Washington salary details

$42.5K

$139K

$222.6K

How much do data science r jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data science r in Washington is $139,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,600.00 and $154,000.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

What are the key skills and qualifications needed to thrive in the Data Science R position, and why are they important?

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Science R jobs in Washington? The most popular types of Data Science R jobs in Washington are:
What cities in Washington are hiring for Data Science R jobs? Cities in Washington with the most Data Science R job openings:
Data Scientist

Data Scientist

VTG

Herndon, VA • On-site

Full-time

Posted 24 days ago


Job description

Overview

We are seeking a highly analytical and driven Data Scientist with at least 5 years of experience leveraging data to drive business insights and decision-making. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data modeling, with the ability to translate complex data into actionable insights.


What will you do?
  • Analyze large, complex datasets to identify trends, patterns, and actionable insights
  • Develop, train, and validate machine learning and statistical models
  • Design and implement experiments, including A/B testing and predictive analytics
  • Collaborate with data engineers and analysts to ensure data quality and accessibility
  • Communicate findings and recommendations to technical and non-technical stakeholders
  • Build data visualizations and dashboards to present insights effectively
  • Deploy and monitor machine learning models in production environments
  • Continuously improve model performance and accuracy
  • Stay current with emerging data science techniques, tools, and technologies

Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles)
  • 5+ years of experience in data science or a related field
  • Strong proficiency in programming languages such as Python or R
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Strong foundation in statistics, probability, and data analysis techniques
  • Experience with SQL and working with large datasets
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Education:UNAVAILABLEEmployment Type: FULL_TIME