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Weekend Data Science R Jobs in Washington (NOW HIRING)

... 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 ...

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

Arlington, VA · On-site

$80 - $100/hr

  • PTO

... science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data ...

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 ...

Data Scientist, Lead

Washington, DC · On-site

$120 - $190/hr

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 ...

... science languages (SQL, R, Python, Julia) • Experience with data integration and data management fundamentals and how to successfully adopt those for data science projects from development into ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis ... Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

Reviews and defines requirements for data science cybersecurity approaches. * Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira ...

Manager of Data Science

Arlington, VA

  • Medical

  • Dental

  • Vision

  • Retirement

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

... or R. * Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills. * Knowledge of various data science applications and ...

Sr. Data Scientist

Washington, DC · On-site

$140K - $215K/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 ...

... in Data Science, Machine Learning, or Analytics * Strong foundation in Statistics, Probability ... Proficiency in Python (NumPy, Pandas, Scikit-learn, OpenCV), SQL, R, and Git . * Experience ...

... 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 ...

... 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 ...

Showing results 41-60

Weekend Data Science R information

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?

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

What cities in Washington are hiring for Weekend Data Science R jobs?

Cities in Washington with the most Weekend Data Science R job openings:

Data Scientist

VTG

Mclean, VA • On-site

Full-time

Re-posted 27 days ago


Job description

Overview

VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA.


What will you do?
  • Collect, clean, and analyze large, complex datasets from multiple sources.

  • Develop and implement statistical models, predictive analytics, and machine learning algorithms.

  • Design experiments and evaluate models to ensure accuracy, reliability, and scalability.

  • Translate data-driven findings into clear business insights and recommendations.

  • Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify opportunities for data solutions.

  • Create dashboards, reports, and data visualizations to effectively communicate results.

  • Stay up to date on industry trends, tools, and best practices in data science and AI/ML.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, 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 scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required:

  • TS/SCI with Full Scope Polygraph
  • BS in a quantitative field (mathematics, data science, statistics)
  • At least 3 years of demonstrated experience directly relevant to analytics, quantitative analysis, 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 scale data.
  • Demonstrated experience with quantitative analysis, machine learning, and statistical modeling.
  • Experience conveying complex data science insights to non-technical audiences
  • Specific experience with the Palantir Foundry/Gotham suite of tools

Desired:

  • Experience with telecommunications metadata and content analysis
  • Experience exploiting or deriving insights from SIGINT, computer network exploitation, or other technical collection
  • Prior counterintelligence experience
  • Specific interest in or experience with technical surveillance

This position is open for current and future openings.

Education:UNAVAILABLEEmployment Type: FULL_TIME