1

Weekend Data Science R Jobs in Fairfax, VA (NOW HIRING)

Data Science experience * Python and/or R * Machine Learning/Computer Vision/Object Detection * Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

R. 120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Basic Qualifications (Required Skills/Experience): * Bachelor's degree in computer science ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

We tap into the power of emerging technologies and scientific breakthroughs to create solutions and ... R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data ...

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 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

Proficiency in high level scripting language, such as Python or R * Understanding of the strategic application of data science methodologies in driving valuable business outcomes for large ...

... 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

New

... 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

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 ...

... 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)

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 ...

next page

Showing results 1-20

Weekend Data Science R information

See Fairfax, VA salary details

$38.3K

$125.5K

$200.9K

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

As of Jun 3, 2026, the average yearly pay for weekend data science r in Fairfax, VA is $125,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $139,000.00 per year, depending on experience, location, and employer.

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 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.

$93.47K/yr

Other

Posted 2 days ago


Job description

If you are an exceptionally talented, knowledgeable, and motivated individual with experience in providing laboratory assistance to one or more senior investigators, performing various laboratory experiments in support of research programs, AND you want to play a significant role in a dynamic organization, then consider joining the NIH!Qualifications:

Thank you for your interest in the Health Scientist (Data Science), GS-601-12/13, position at our agency. You must meet the qualification requirements as prescribed by the Office of Personnel Management. All education, unless completed outside of the U.S., must be from an educational program from an accrediting body recognized by the U.S. Department of Education at the time the education was completed.
In order to qualify for the Health Scientist (Data Science), GS-601 position, you must:
A. Possess a bachelor's degree, or graduate/higher level degree with major study in an academic field related to the medical field, health sciences or allied sciences appropriate to the work of this position.
FOR THE GS-12 LEVEL:
In addition, in order to qualify for a Health Scientist (Data Science), GS- 0601 at the GS-12 level, you must have at least one year of specialized experience at or equivalent to the GS-11 level in the Federal service, obtained in either the private or public sector, performing the following types of tasks:
1.) working on organizational data standardization, integration, and sharing to assist stakeholders (e.g., researchers, leadership); 2.) modifying applications using programming languages (e.g., R, Python, SQL, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization; 3.) presenting findings through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming languages (e.g., R, Phyton, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); 4.) applying predictive analytics methods, such as Natural Language Processing (NLP), machine/deep learning, or other Artificial Intelligence (A.I.) tools to extract insights from data.
FOR THE GS-13 LEVEL:
In addition, in order to qualify for a Health Scientist (Data Science), GS-0601 at the GS-13 level, you must have at least one year of specialized experience at or equivalent to the GS-12 level in the Federal service, obtained in either the private or public sector performing the following types of tasks:
1.) partnering with relevant stakeholders (e.g., researchers, leadership) to build consensus around data standardization, integration, and sharing processes; 2.) creating and modifying scientific or medical applications using common programming languages (e.g., R, Python, SQL, Java, C/C++, Julia) to facilitate data clean-up, standardization, analysis, and retrieval efforts across an organization; 3.) presenting findings through data visualization techniques (e.g., interactive dashboards, charts, graphs) using programming languages (e.g., R, Python, SQL, Scala, Java, C/C++, Julia) or software packages (e.g., MatLab, Tableau); 4.) applying advanced predictive analytic methods, such as Natural Language Processing (NLP), machine/deep learning, and other advanced Artificial Intelligence (A.I.) tools to derive insights from complex data sets (e.g., high volume, multidimensionality, complex structure).

You will receive credit for all experience material to the position, including experience gained in religious, civic, welfare, service, and organizational activities, regardless of whether you received pay.

Do not copy and paste the duties or specialized experience from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
We may verify or assess your qualifications at any time. Inflated or unsupported qualifications may affect your rating. Any misrepresentation or material omission of facts may be sufficient cause to end further consideration of your candidacy. Persons listed as knowing your past accomplishments or experience in your application may be contacted for verification purposes at any time. Verification may, but need not, begin before receiving an offer.

Preview application questionnaire before you apply: https://apply.usastaffing.gov/ViewQuestionnaire/12966979Education:This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Click here for information on Foreign Education.
Employment Type: OTHER