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

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science Consultant Location * Washington, DC Area (Hybrid) Summit is a specialized analytics ... R programming skills to accelerate data analysis, analytical workflow development, and ...

Summit

Data Science Consultant (Hybrid)

Washington, DC · On-site

$90K - $110K/yr

Data Science ConsultantLocationWashington, DC Area (Hybrid) Summit is a specialized analytics firm ... R programming skills to accelerate data analysis, analytical workflow development, and ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

... 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 skills

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)

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 ...

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 ...

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

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 · 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)

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 ...

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

... 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 ...

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 ...

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Weekend Data Science R information

See Washington, DC salary details

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$139K

$222.6K

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

As of Aug 21, 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 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?

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 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 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 Science Consultant (Hybrid)

Summit

Washington, DC • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Data Science Consultant
Location
  • Washington, DC Area (Hybrid)

Summit is a specialized analytics firm that uses economics, statistics, and analytics to solve complex challenges for federal, state, and private-sector clients. Our work in federal infrastructure finance, transaction advisory services, evidence-based program evaluation, modernization, and enforcement and litigation analytics helps make government effective for the public good.
We are committed to fostering a collaborative workplace built on diverse perspectives, continuous learning, and trust. At Summit, you'll find an environment that empowers you to grow, contribute meaningfully, and do your best work.
We are seeking a Data Science Consultant / Senior Data Science Consultant to join our team, which partners with clients to transform complex data into actionable insights through modern analytics, machine learning, and data-driven decision support. Successful candidates will be comfortable moving between exploratory data analysis, machine learning, cloud-based ETL development, and modern software development practices to deliver production-ready analytical solutions.
Primary Duties
  • Conduct exploratory data analysis to identify trends, patterns, anomalies, and actionable insights from complex datasets.
  • Ability to translate ambiguous business or policy questions into structured analytical approaches and actionable insights.
  • Develop compelling data visualizations and communicate analytical findings through presentations, dashboards, and written summaries for technical and nontechnical audiences.
  • Apply statistical methods and machine learning techniques to solve business and policy problems, including segmentation, predictive modeling, and pattern detection.
  • Rapidly investigate emerging business questions through iterative data analysis and hypothesis testing.
  • Design scalable, repeatable analytics and data engineering workflows that support production-ready analytical solutions.
  • Mentor junior staff in data science and software development best practices.
  • Contribute to technical responses for data science proposals.

Minimum Technical Requirements
  • S. citizenship and ability to obtain a Public Trust clearance
  • 5+ years total experience in data science including data preprocessing, data visualization, statistical techniques and concepts, and data management.
  • Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and visualization while validating results.
  • 4+ years of experience programming in Python and/or R, including the ability to review, modify, and validate code.
  • 2+ years of consulting experience with project management skills.
  • Experience developing analytical solutions in cloud environments (e.g., AWS or Azure), including data storage, ETL pipelines, and cloud-based analytics services.
  • Experience using version control (e.g., Git).
  • Bachelor's degree.

Preferred Skills
  • SQL
  • Experience with cloud-native-data platforms and services (e.g., Amazon S3, AWS Glue, Athena, Redshift, Azure Data Factory, etc.)
  • Experience deploying and maintaining code using Git-based workflows and CI/CD (e.g. GitHub Actions, GitLab pipelines, Azure DevOps)
  • Experience with machine learning techniques such as clustering, classification, or anomaly detection
  • Experience supporting data-driven decision making for government, regulatory, or policy organizations
  • Tableau

Compensation and Benefits
Full-Time Salary Range: $90,000-110,000
This range reflects our market-based pay structure. Individual compensation is determined by factors including business needs, local market conditions, internal equity, and candidate qualifications (skills, education, experience).
We support our employees' health, financial well-being, and work-life balance. Full-time employees are eligible for:
  • Medical, dental, and vision insurance
  • Health Savings Account (HSA) options
  • 401(k) with 4% employer match
  • Disability, life, and accident insurance
  • Holidays and generous paid time off, including to vote and volunteer
  • Paid parental, military, bereavement, and applicable federal/state sick leave

Our Hiring Process
If selected to move forward, you will:
  • Participate in an initial behavioral phone screen with our recruiting team.
  • Meet with staff members for a technical and collaborative interview.
  • Complete a background check (if selected for further consideration).

Work Environment
Our office is in the heart of Washington, DC's Chinatown neighborhood, with convenient access to public transportation. We operate in a hybrid model and provide an integration partner to support your onboarding and professional development.
This position may require 2-3 days per week on site with our client in Washington, DC.
How to Apply
To ensure your application is reviewed, submit your résumé directly through our website at:
Please do not email résumés.
Accessibility and Equal Opportunity
Summit is committed to accessibility for all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation or are unable to use or access our careers website, please contact us at .
Summit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law, where applicable. Those with criminal histories will be considered in accordance with applicable state and local laws. Equal Employment Opportunity (EEO) is the law. to view information on your protections under federal law from discrimination.

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