1

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

Senior Data Scientist

Washington, DC · On-site

$155K - $170K/yr

Work 40 hours a week but potentially work late night shifts and weekends at times to cover ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field * Doctor ...

New

... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

New

... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

New

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.

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.

... 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 ...

... 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

... 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)

... 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 Washington, DC salary details

$42.5K

$139K

$222.6K

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

As of Jun 20, 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:
Senior Data Scientist

Senior Data Scientist

Tetra Tech, Inc.

Washington, DC • On-site

$155K - $170K/yr

Full-time

Posted 2 days ago


Tetra Tech rating

5.8

Company rating: 5.8 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

335th of 355 rated engineering


Job description

Tetra Tech AMT is looking for a Senior Data Scientist to support a highly visible new FAA project in the initial project standup of executable processes and analytics at the direction of FAA management for pre-departure planning.
Primary job duties and responsibilities may include, but are not limited to the following:
  • Establish a process for strategic deconfliction in collaboration with internal and external aviation stakeholders for a new FAA Traffic Flow Management Evolution Program for a potential "24/7" operation
  • Use advanced statistics, modeling, and machine learning to predict outcomes and solve complex problems related to anticipating flight delays, flight cancellations, scheduling conflicts, and other aircraft/flight disruptions
  • Support tasks that bridge the gap between complex mathematics and business strategy related to how an air traffic management (ATM) system would translate to lower fuel burden, less aircraft downtime, shorter block times, and faster flights
  • Work 40 hours a week but potentially work late night shifts and weekends at times to cover overnight and weekend data modeling needs
  • Document the FAA process, roles, and responsibilities to enable execution of strategic deconfliction process plan for day of operations in the National Airspace System (NAS)
  • Work with FAA and industry vendor(s) who will architect and build the analytical data model and provide feedback as necessary
  • Collaborate with FAA stakeholders and external industry partners (as needed) to obtain necessary data to operate logistically optimized model
  • Enter data into analytical models (long range and same day planning) to develop strategic deconfliction plans
  • As needed, support the training of FAA staff on process execution related to newly designed traffic flow management program
  • Document all lessons learned and FAA process improvement opportunities for evolution of strategic deconfliction processes/capability
  • Apply knowledge in the domain of engineering and operations research to optimize NAS strategic deconfliction plan
  • Define post event analysis criteria and data expectations
  • Document recommended process improvement opportunities
  • Provide expertise in the design, development, implementation, and analysis of technical FAA products and systems

The successful candidate will have:
  • Have a deep background in air traffic management and airport operations including FAA traffic flow management practices
  • Possess broad knowledge of systems engineering and implementation, providing technical expertise in the application of state-of-the-art technology to meet FAA mission and aerospace requirements
  • The ability to move beyond off-the-shelf algorithms by understanding their underlying assumptions and limitations
  • The ability to train predictive models and scale them using cloud ecosystems
  • The patience to clean, process, and extract structure from "messy" aviation, FAA, airline, weather and other related data, which consumes the majority of the project's time
  • Flexible work schedule that may require working at FAA in-person and cover nights, weekends and even some holidays during the year as this is in support of a national and highly visible FAA project
  • Potentially be on call to cover shifts when anticipated higher days of operations or team members are unavailable/on scheduled vacation
  • Must have at least 20 years of professional years of experience supporting projects as a data scientist but preferably in support of the FAA/NASA or at least the federal government
  • Must have a Master's Degree in technical area (e.g. Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field
  • Doctor of Philosophy (Ph.D.) is preferred

Salary: $155,000 to $170,000 annually. Compensation is based on relevant experience and qualifications.
Tetra Tech is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sex, marital or familial status, status as a protected veteran, or any other characteristic protected by law. Tetra Tech is a VEVRAA federal contractor and we request priority referral of veterans.

What Tetra Tech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom