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Weekend Data Science Jobs (NOW HIRING)

Tetra Tech, Inc.

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 ...

Find Data Science

Data Scientist

San Francisco, CA

Stay updated on industry trends and best practices regarding data science methodologies and technologies. * Mentor junior data analysts and contribute to the development of their technical skills.

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

... 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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients. Adidev Technologies is a ...

Tetra Tech

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 ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A ...

Angel Studios

Data Science

Provo, UT · On-site

$110K - $130K/yr

This is a data science role, not an ML engineering role. Day one is about analytical rigor: metrics, experimentation, causal inference, and making the team smarter about our members. But we're ...

PROPRIUS

Director Data Science

San Francisco, CA

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data Science A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team.

Shamrock

Data Science Analyst

Phoenix, AZ · On-site

The Data Science Analyst is responsible for using data science, machine learning, statistical ... or weekends due to project or department needs. Corporate Summary: At Shamrock Foods Company ...

Optimize Partners

Director, Data Science

New York, NY · Hybrid

As a manager of a world-class data science team within a fast-evolving financial landscape, the individual will have the exciting opportunityto direct a team of data scientists on a variety of ...

JCTM, LLC

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 ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy ...

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

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Weekend Data Science information

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$37.5K

$122.7K

$196.5K

How much do weekend data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a weekend data science?

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 skills and qualifications are needed to thrive as a weekend data scientist?

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 challenges do data scientists working on weekends face, 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.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.
More about Weekend Data Science jobs

What cities are hiring for Weekend Data Science jobs?

Cities with the most Weekend Data Science job openings:

What are the most commonly searched types of Data Science jobs?

The most popular types of Data Science jobs are:

What states have the most Weekend Data Science jobs?

States with the most job openings for Weekend Data Science jobs include:

What job categories do people searching Weekend Data Science jobs look for?

The top searched job categories for Weekend Data Science jobs are:

Weekend Data Science jobs near you
Infographic showing various Weekend Data Science job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Tetra Tech, Inc.

Washington, DC • On-site

$155K - $170K/yr

Full-time

Re-posted yesterday

Tetra Tech rating

6.4

Company rating: 6.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

403rd of 449 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.

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