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Data Science R Jobs in Washington, DC (NOW HIRING)

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

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 ...

VTG

Data Scientist

Mclean, VA · On-site

... 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)

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

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 ...

VTG

Data Scientist

Herndon, VA · On-site

... 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)

VTG

Data Scientist

Chantilly, VA

... 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)

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Senior Associate, Data Science Data is at the center of everything we do. As a startup, we ... At least 2 years' experience in Python, Scala, or R * At least 2 years' experience with machine ...

Omniscius Consulting

Data Scientist

Washington, DC · On-site

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

Omniscius

Data Scientist

Washington, DC · On-site

$140 - $200/hr

Develop data science solutions using Python, Jupyter Notebook, PySpark, Pandas, R, and related technologies. * Use SQL to perform complex queries and analyze large-scale structured and unstructured ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... data science roles • Strong proficiency with Python or R and SQL • Experience with statistical analysis, modeling, or machine learning techniques • Strong written and verbal communication ...

VTG

Data Scientist

Mclean, VA · On-site

... 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 ...

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Showing results 21-40

All JobsData Science R JobsData Science R Jobs in Washington, DC

Data Science R information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do data science r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science r in Washington, DC 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?

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 does a Data Science R do?

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.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are the most commonly searched types of Data Science R jobs in Washington, DC?

The most popular types of Data Science R jobs in Washington, DC are:

What are popular job titles related to Data Science R jobs in Washington, DC?

For Data Science R jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Washington, DC look for?

The top searched job categories for Data Science R jobs in Washington, DC are:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Washington, DC as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $139,013 per year, or $66.8 per hour.

R Programmer (Washington, DC)

Cedent

Washington, DC • On-site

Contractor

Re-posted 19 days ago

Job description

Job Description:
Data Engineering and Advance Analytics Enablement team is looking for a R Analytics Cloud Engineer that will be playing a key role in helping on enabling Analytics Tools used for research community and supporting Analytics application migration to Cloud and bring in key transformational changes to how we deploy Analytics Tools using cloud native architecture.
Duties & Responsibilities:
  • Assess, design, and build workflows to integrate solutions for scalable, reliable, and automated "R" analytics data science products on AWS.
  • 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 systems via distributed computing on AWS
  • Support business applications in deploying models into the cloud with containerization technologies such as Docker and Kubernetes
  • Support the team in the writing of deployment scripts and place a strong emphasis on automated deployment, infrastructure automation solutions, and continuous delivery processes
  • Leverage Analytics Data Platform tools (RStudio on Domino/Sagemaker, RStudio Connect), AWS services to build workflows that will support deployment of analytics applications developed in R
  • Participate in an on-call rotation for critical outages and issues
  • Strong hands-on working experience with Shell Scripting (Bash, Csh, Ksh)
  • Effective communication and technical skills
  • Develop & maintain technical documentation including system diagrams & operational procedures

Required qualifications:
  • 5+ years overall experience in IT related experience including software development, Data Scientists & DevOps functions.
  • 3+ years solid development experience in R, R packages, RStudio, RStudio Connect, RStudio Package Manager, Python, SQL, Web & Cloud Technologies
  • 2+ years of experience with AWS services supporting data science and analytics (EC2, S3, RDS, Lambda, Sagemaker, Glue)
  • 2+ years of relevant working experience in an analytical role involving data extraction, analysis, and communication of findings
  • 2+ years of experience in building and maintaining CI/CD tooling (Jenkins, Bitbucket Pipelines, GitHub).
  • Experienced in Data Exploration packages with Base R
  • Experienced in using deep learning frameworks such as TensorFlow, Pytorch, etc.
  • Ability to effectively communicate technical solutions to engineering teams and business audiences

Key Competencies:
  • Knowledgeable in the AWS Well Architected Framework
  • Strong analytical, organizational, problem-solving, and time-management skills
  • Strong communication (verbal and written) and listening skills.
  • Strong teamwork, planning, and coordination skills
  • Self-motivation, adaptability, and the ability to meet aggressive deadlines.
  • Ability to independently research and resolve technical problems in a complex IT environment with local and remote groups.

This is a contract position
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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