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Freelance Data Scientist Jobs (NOW HIRING)

You're skilled in both the science (SQL, Python) and the art of analytics (data storytelling ... Freelance engagement of 20-30 hours per week, ongoing, based on needs * Opportunity to work across ...

Freelance Senior Designer

New York, NY · On-site

$2.6K - $3.0K/wk

At AKQA (part of WPP), we believe in the imaginative application of art and science to create ... We unite cutting-edge media intelligence and data solutions, world-class creativity, next ...

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 ...

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 ...

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Freelance Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do freelance data scientist jobs pay per year?

As of Aug 23, 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.

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.

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.

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 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:

Infographic showing various Freelance Data Scientist job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 67% Full Time, 17% Part Time, and 8% Contract. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Freelance Scientific Director - Publications (Oncology)

The Lockwood Group, LLC

Remote

Full-time

Posted 5 days ago


Job description

**Apply to join Lockwood's Scientific Director Freelancer Community for both immediate and future assignments**

About Lockwood: Lockwood collaborates with clients in the pharmaceutical, biotech, and medical device industries to identify effective, holistic, science-based strategies to address their objectives through medical communications. Our clients count on us to challenge their assumptions and help them creatively navigate around obstacles. From strategy through execution, we focus on accuracy, transparency, and scientific value to create programs that are evidence-based, clinically relevant, and contribute to the development of our clients' brands. Over a third of our staff hold advanced scientific or medical degrees, and most work from where they live. Because our flexible structure provides better work-life balance, we attract the best talent, facilitate their best work, and as a result, are more responsive to our clients, wherever and whenever they do business. 

Summary: In this role, the Freelance Scientific Director is responsible for the planning, development, and oversight of scientific content for an assigned account or accounts across various therapeutic areas addressing different target audiences.

Responsibilities: Responsibilities include working with the Group Scientific Director to provide clients with strategic medical communication recommendations that support the achievement of brand goals, independently leading execution of content development activities, supervising Associate Scientific Directors, and liaising with other in-house or freelance staff to manage writing and other content-related tasks such as conducting background research, data-checking, and reference annotation.

Education: An advanced degree in science (ie. PhD, PharmD, or MD) is required. CMPP preferred.

Professional Skills and Requirements:

  • Candidates must have 5 or more years of relevant job experience with medical publications, including manuscripts, posters, abstracts, podium presentations, scientific platforms, and publication extenders.
  • This role requires demonstrated organizational, analytical, and interpersonal communication skills, as well as the ability to analyze and interpret scientific data, multitask, work independently, and manage projects within tight deadlines.
  • Experience with established professional medical editorial processes (ie. AMA style) and ethical guideline working knowledge (ie. ICMJE, GPP2022) is also required.
  • Oncology experience preferred (CAR-T and/or Multiple Myeloma)Â