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Weekend Data Science Jobs in Reston, VA (NOW HIRING)

... 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 ...

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 ...

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 ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

What if you could apply your data science expertise to help the Marine Corps Warfighting Lab identify opportunities to improve situational awareness, decision-making, and operational effectiveness ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who understand the mission, the tradecraft, and the people who have to make decisions with imperfect ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for ...

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Weekend Data Science information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do weekend data science jobs pay per year?

As of Jul 8, 2026, the average yearly pay for weekend data science in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

What are the most commonly searched types of Data Science jobs in Reston, VA? The most popular types of Data Science jobs in Reston, VA are:
What are popular job titles related to Weekend Data Science jobs in Reston, VA? For Weekend Data Science jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Weekend Data Science jobs? Cities near Reston, VA with the most Weekend Data Science job openings:
Senior Data Scientist

Senior Data Scientist

Tetra Tech

Washington, DC • On-site

Full-time

Posted 19 days ago


Tetra Tech rating

5.8

Company rating: 5.8 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

338th of 359 rated engineering


Job description

Job Summary:
Tetra Tech AMT is seeking a Senior Data Scientist to support a new FAA project focused on pre-departure planning and analytics. The role involves collaborating with aviation stakeholders, utilizing advanced statistics and machine learning to predict flight outcomes, and optimizing air traffic management processes.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• Doctor of Philosophy (Ph.D.) is preferred
Company:
Tetra Tech provides innovative solutions focused on water, the environment and energy for the government and commercial clients. Founded in 1966, the company is headquartered in Pasadena, USA, with a team of 10001+ employees. The company is currently Late Stage.

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