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

VTG

Data Scientist

Herndon, 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)

SOSi

Data Scientist III

Washington, DC · On-site

This role is responsible for applying data science, machine learning, and data engineering ... Experience with programming languages including Python, JSON, C++, Java, R, or Scala * Experience ...

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)

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 ...

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 ...

Analytic Services Inc

Data Scientist

Washington, DC · On-site

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 ...

VTG

Data Scientist

Mclean, VA

... 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 ...

Analytic Services Inc

Data Scientist

Washington, DC · On-site

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 ...

Bigbear.ai

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 ...

Bigbear.ai

Data Scientist, Lead

Washington, DC · On-site

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 ...

BigBear.ai

Data Scientist, Lead

Washington, DC · On-site

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 ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Proficiency in Python , R , or Scala and strong knowledge of data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy). * Experience with cloud platforms (AWS, Azure, or GCP ...

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

Weekend Data Science R information

See Washington, DC salary details

$42.5K

$139K

$222.6K

How much do weekend data science r jobs pay per year?

As of Jul 11, 2026, the average yearly pay for weekend 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 are some common challenges faced by Weekend Data Science R professionals, and how can they effectively manage project deadlines given a limited work schedule?

Weekend Data Science R professionals often face the challenge of managing complex data analysis projects within a restricted timeframe. Balancing project deadlines with limited availability requires strong time management and clear communication with team members. It's important to set realistic goals for each work session, prioritize tasks that drive the most value, and leverage collaboration tools to stay aligned with colleagues working during weekdays. Building a habit of thorough documentation and regularly syncing with the team ensures that progress continues smoothly, even when not physically present during the standard workweek.

What is a Weekend Data Science R?

A Weekend Data Science R is typically a data scientist or analyst who specializes in using the R programming language to analyze and interpret data, and who works primarily on weekends. This role may be part-time, project-based, or designed for individuals who are balancing other commitments during the week. Weekend Data Science R professionals often handle tasks such as data cleaning, statistical analysis, and creating data visualizations using R. They are valued for their ability to deliver insights and support decision-making processes, often on a flexible schedule. This role is ideal for those who have strong analytical skills and proficiency in R, and who prefer or require weekend work hours.

What are the key skills and qualifications needed to thrive as a Weekend Data Science R, and why are they important?

To thrive as a Weekend Data Science R, you need a solid background in statistics, programming (especially in R), and data analysis, often supported by a relevant degree or coursework. Familiarity with data visualization tools, machine learning libraries, and version control systems like Git is commonly required. Excellent problem-solving, time management, and communication skills help you tackle projects independently and convey insights clearly. These skills are crucial for delivering actionable results efficiently while balancing part-time or weekend schedules.
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:
Weekend Data Science R jobs near you
Data Scientist

Data Scientist

VTG

Herndon, VA

Full-time

Re-posted 28 days ago

Job description

Overview

VTG is 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

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