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Weekend Remote Data Scientist Jobs (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

3B Staffing LLC

Data Scientist

Cherry Hill, NJ · Remote

Remote Duration 4-6 months Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM/RBM experience, hands-on clinical data analysis (KRIs/QTLs), EDC data integration (RAVE preferred ...

3B Staffing LLC

Data Scientist

Cherry Hill, NJ · Remote

Remote Duration 4-6 months Advanced SAS programming (Base, Macro, SQL) in clinical trials with RBQM/RBM experience, hands-on clinical data analysis (KRIs/QTLs), EDC data integration (RAVE preferred ...

YO AI Labs

Data Scientist Expert - Remote

New York, NY · Remote

Data Scientist Role Type: Contractor Location: Remote About the Role We are looking for experienced data scientists and quantitative professionals to support AI training and evaluation projects. You ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · Remote

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Inspira Financial

Data Scientist (Remote)

Oak Brook, IL · On-site +1

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Swish Analytics

Data Scientist

San Francisco, CA · On-site +1

$150K/yr

This position is remote from the USA or Canada. Duties: * Develop infrastructure for trader ... Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical ...

Booz Allen Hamilton, Inc.

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0246027 Location: Fayetteville,NC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247943 Location: Albuquerque,NM,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

CeCity.com

Data Scientist

$72K - $120K/yr

Data Scientist What you will be doing: This position will have responsibility for conceptualizing ... Remote Travel Requirements: Travel 1-20% within the US Physical Demands: Sedentary: Exerting up to ...

Premier, Inc.

Data Scientist

$72K - $120K/yr

Data Scientist What you will be doing: This position will have responsibility for conceptualizing ... Remote Travel Requirements: Travel 1-20% within the US Physical Demands: Sedentary: Exerting up to ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

Remote Work: No Job Number: R0247486 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: In this role, you will apply data science techniques and methods and leverage a ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Flexible work schedule including nights, weekends and holidays throughout the year Compensation ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

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Weekend Remote Data Scientist information

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$122.7K

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How much do weekend remote data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend remote data scientist 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 remote data scientist?

Weekend Remote Data Scientists are professionals who work part-time or on a flexible schedule, typically during weekends, to analyze data, build models, and generate insights for organizations. They perform their duties remotely, using data science tools and techniques to solve business problems without needing to be physically present at an office. This role is ideal for those seeking work-life balance, additional income, or flexibility in their work schedule. Weekend Remote Data Scientists often collaborate with teams via virtual communication platforms and use cloud-based tools to access and analyze data securely.

What are the key skills and qualifications needed to thrive as a weekend remote data scientist, and why are they important?

To thrive as a Weekend Remote Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages such as Python or R, experience with machine learning libraries, and knowledge of data visualization tools and cloud platforms are typically expected. Excellent time management, self-motivation, and clear communication skills are essential for independent remote work and effective collaboration with distributed teams. These skills ensure accurate data-driven insights, efficient project delivery, and seamless coordination in a remote and flexible work environment.

What are some common challenges faced by weekend remote data scientists, and how can they be addressed?

Weekend remote data scientists often face challenges such as managing communication with teammates who work standard weekday hours and accessing time-sensitive data or support outside regular business times. To overcome these hurdles, it's important to set clear expectations with your team, utilize asynchronous communication tools (like Slack or email), and plan your tasks in advance to ensure you have all necessary resources before the weekend. Proactively updating your team on progress and any blockers can also help maintain collaboration and project momentum.

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

AspectWeekend Remote Data ScientistPart-Time Data Analyst
CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in related field, often with similar certifications
Work EnvironmentRemote, flexible hours, project-basedRemote or on-site, flexible hours, project or hourly-based
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, research, finance
Search & Comparison IntentFocus on data science skills, modeling, machine learningFocus on data analysis, reporting, visualization

The Weekend Remote Data Scientist typically works on complex data modeling and machine learning projects during weekends, requiring advanced data science skills. In contrast, a Part-Time Data Analyst focuses on data reporting, visualization, and basic analysis, often during flexible hours. Both roles are remote and part-time but differ in technical complexity and daily responsibilities.

What cities are hiring for Weekend Remote Data Scientist jobs?

Cities with the most Weekend Remote Data Scientist job openings:

What are the most commonly searched types of Weekend Data Scientist jobs?

The most popular types of Weekend Data Scientist jobs are:

What states have the most Weekend Remote Data Scientist jobs?

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

Weekend Remote Data Scientist jobs near you
Infographic showing various Weekend Remote Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 8 days ago

Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.

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