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Freelance Data Scientist Jobs (NOW HIRING)

Space44

Engineer / Developer - Freelance (Remote)

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Access advanced training opportunities in data science and machine learning to boost your career ...

Space44

Engineer / Developer - Freelance (Remote)

You'll be among the first we reach out to when new freelance opportunities go live. Key ... Access advanced training opportunities in data science and machine learning to boost your career ...

Inizio Ignite | STEM

Freelance Field Specialist

York, PA · On-site

Bachelors degree - marketing, science, or data focus is preferred. * Availability to work on a freelance basis * When working on a project, have 1-5 days availability during the week * Flexibility to ...

Surecall Tech

Data Engineer (San Francisco)

San Francisco, CA · On-site

$133K - $160K/yr

Partnering cross-functionally with data scientists, engineers, and product teams to deliver value ... Training (Freelance, Remote) San Francisco, CA $170,000.00-$210,000.00 2 months ago Software ...

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How much do freelance data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for freelance 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 freelance data scientist?

A freelance data scientist is an independent professional who offers data analysis, machine learning, and statistical modeling services to various clients on a contract or project basis. Unlike in-house data scientists, freelancers have the flexibility to work with multiple organizations, often remotely, and handle diverse projects. Their responsibilities typically include collecting, cleaning, and analyzing data, building predictive models, and providing actionable insights to help clients make data-driven decisions. Freelance data scientists may work with startups, corporations, or individuals across different industries.

What does a freelance data scientist do?

A freelance data scientist provides data-analytics services to corporate clients or government agencies as an independent contractor. As a freelance data scientist, you may work onsite at client locations or remotely. Your job duties as a freelance data scientist include analyzing big data using statistics and database management software tools. You must identify the correct data sets and variables, validate the data to ensure accuracy, use various forms of data modeling to identify patterns and trends, and finally interpret the data to convey actionable insights.

Can I work as a freelance data scientist?

Yes, a freelance data scientist can work independently by offering services such as data analysis, modeling, and machine learning to clients. Success in this role typically requires strong skills in programming, statistics, and tools like Python or R, along with effective communication and project management abilities.

What is the difference between Freelance Data Scientist vs Data Analyst?

AspectFreelance Data ScientistData Analyst
Required CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, but also freelance roles; primarily office or remote
Employer & Industry UsageClients across various industries, including tech, finance, healthcareOrganizations seeking insights from data, across industries

While both roles involve working with data, a Freelance Data Scientist focuses on complex modeling, machine learning, and advanced analytics on a project basis. A Data Analyst typically handles data cleaning, reporting, and visualization within organizations. The choice depends on your expertise level and career goals.

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

To thrive as a Freelance Data Scientist, you need strong analytical abilities, a solid background in statistics and programming (often with a degree in a related field), and proven experience with data modeling and machine learning. Familiarity with tools like Python, R, SQL, and platforms such as TensorFlow, as well as knowledge of data visualization software, are typically required, along with certifications like Microsoft Certified: Azure Data Scientist or Google Professional Data Engineer. Excellent communication, self-motivation, and project management skills help freelancers effectively collaborate with clients and deliver results independently. These skills are essential for turning complex data into actionable insights and maintaining successful client relationships in a competitive, project-based environment.

Is a freelance data scientist job still in demand?

Freelance data scientist roles remain in demand due to the growing need for data analysis, machine learning, and AI expertise across industries. Skills in programming languages like Python or R, along with experience in data visualization and cloud platforms, enhance job prospects in this flexible work arrangement.

How do freelance data scientists typically manage communication and collaboration with clients and remote teams?

Freelance Data Scientists often work with clients and project stakeholders across different locations and time zones, making clear and proactive communication essential. They usually rely on collaboration tools such as Slack, Zoom, and project management platforms like Trello or Asana to stay aligned on project goals and deliverables. Setting clear expectations, providing regular progress updates, and being responsive to feedback are key strategies for maintaining strong professional relationships. Additionally, freelancers may need to adapt their communication style to suit each client's preferences and ensure technical findings are translated into actionable insights for non-technical stakeholders.
More about Freelance Data Scientist jobs
What cities are hiring for Freelance Data Scientist jobs? Cities with the most Freelance Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
What states have the most Freelance Data Scientist jobs? States with the most job openings for Freelance Data Scientist jobs include:
What job categories do people searching Freelance Data Scientist jobs look for? The top searched job categories for Freelance Data Scientist jobs are:
Freelance Data Scientist jobs near you
Infographic showing various Freelance Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Houston, TX • Remote

$45/hr

Part-time

Re-posted 12 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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