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Weekend Data Science Jobs (NOW HIRING)

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 ...

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 ...

RELX

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 ...

RELX Group plc

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 ...

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 ...

Jobs for Humanity

Data Science Managers

Piscataway, NJ · On-site

Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a ...

Gartner

Director, Data Science

Arlington, VA · Remote

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

Gartner

Director, Data Science

Irving, TX · Remote

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

Valero Energy

Data Science Specialist

San Antonio, TX · On-site

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

Valero

Data Science Specialist

San Antonio, TX

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

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

Gartner

Director, Data Science

Irving, TX · Remote

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

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All JobsWeekend Data Science Jobs

Weekend Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do weekend data science jobs pay per year?

As of Jun 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 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.

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

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Posted 15 days ago

Job description

Data Science: We are interested in individuals who are adept at tackling undefined business problems using both traditional machine learning approaches and the latest generative AI techniques. Ideal candidates should have robust analytical skills and be proficient in Python coding. Moreover, they should be capable of working both independently and collaboratively with the rest of the team. Additionally, experience in document processing with various forms is highly preferred. Effective communication skills are also essential for this role.

AI Engineering:

Primary Responsibilities:

o Design and implement the systems to power modern web applications that enables users to derive information from patient data in a scalable, reliable, and cost-effective manner

o Ensure the delivery of high-quality, maintainable, and efficient code

o Be an advocate for product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering specifications.

Required Qualifications

• BS Degree in Computer Science or equivalent

• 6+ years of hands-on software engineering design and programming experience

• Hands on experience in delivering at least two modern web applications, from design to implementation, test and release.

• Master the fundamentals of technologies such as HTTP protocols, REST API, Security Fundamentals: Encryption, Hashing, Web Security Development, Authentication and Authorization

• 3+ years hands on experience with Python programming

• Basic understanding of front-end development with React

• Understand performance issues and how to optimize database queries and caching methodologies

• Ability to debug complex software and system issues

• Improve team engineering excellence by leading clear documentation, troubleshooting, logging and applying engineering best practices.

• Quality mindset with unit and integration tests

• Extensive experience in Agile and Scrum. You know how to work within teams against a backlog, and how to enable true CI/CD. You understand the role of a Software Engineer in an Agile environment – where clarifying the solution approach, possessing deep understanding of product requirements and always watching for edge cases are paramount

• Knowledge spans the full stack, from deployment ops and database technologies through to front-end frameworks. Ideally, you have a deep understanding of both OOP and Functional stacks, Relational and NoSQL Data Stores, Streaming Applications and system development/maintenance in accloud platform such as AWS, gcp or Azure. (AWS a bonus!)

Nice-to-have Skills:

• Familiarity with OpenAPI / Swagger specifications

• Deployment experience: GitHub actions, Terraform, Docker, etc.

• AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM