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Freelance Data Scientist Jobs (NOW HIRING)

Euroclear

NY · On-site

$120 - $180/hr

It is looking for a Data Scientist: Your Profile * Demonstrable record of successful hands‑on ... Please note that this is a permanent position and we do not offer freelance/contract arrangement ...

Publicis Groupe Holdings B.V

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

Overview We're looking for a Data Scientist to join the team who is a curious, creative problem ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Mindrift

Freelance Data Scraping Engineer (Python)

$37/hr

About the Role This is a freelance role for a Tendem project. As a Python Data Scraping Engineer ... Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related ...

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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.

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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 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.

Data Visualization Designer - Freelance

AKQA

Atlanta, GA • Remote

Full-time

Posted yesterday

New

Job description

At AKQA (part of WPP) we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design adaptive digital services and applications that capture the imagination, delivering impressive returns for our clients.

Creatives at AKQA apply artistry and craftsmanship to strategic insight to create and bring to life beautiful ideas that move the world. Skilled storytellers and conceptors, they work in a multidisciplinary environment to develop labors of love that delight customers and deliver results for clients. Data Visualization Designers play an essential role in this work, transforming complex information into clear, compelling, and beautiful visual stories that inform and inspire.
We are seeking a Freelance Data Visualization Designer who can take macro-level data and complex systems and find the story within them, crafting striking, beautiful visualizations for one of the world's most recognized travel brands. This is a role for a designer who is first and foremost a storyteller, able to distill large and complex datasets into visuals that are as insightful as they are elegant, and to shape them into a narrative that resonates. This is a client-facing role, so you will need to be comfortable and experienced presenting and collaborating directly with clients. This is a freelance role from ASAP through October 9, 2026.
ROLE REQUIREMENTS

  • Take large, complex, macro-level datasets and systems and uncover the most compelling and meaningful stories within them
  • Design beautiful, clear data visualizations that communicate insight with clarity and impact
  • Translate abstract data into visual narratives that are immediately understandable and genuinely engaging
  • Craft charts, graphics, and visual systems with a high degree of polish, precision, and aesthetic refinement
  • Collaborate with strategists, writers, and other designers to ensure the data story aligns with the broader narrative and objectives
  • Iterate quickly, exploring multiple visual approaches to find the clearest and most powerful expression of the data
  • Present and articulate the rationale behind visualization choices directly to client stakeholders

QUALITIES AND CHARACTERISTICS

  • A compelling portfolio demonstrating beautiful, high-craft data visualization work
  • A natural storyteller with a sharp eye for the insight and angle hidden within complex data and systems
  • Strong command of visualization principles, information design, typography, and layout
  • Comfortable working with large and complex datasets, and skilled at making them accessible and engaging
  • Proven experience working directly with clients, with the confidence and communication skills to present and collaborate in client-facing settings
  • Proficiency with relevant design and visualization tools, with the craft to deliver refined, presentation-ready work
  • Curious, rigorous, and detail-oriented, with a passion for making data both truthful and beautiful
  • Collaborative and open to feedback, motivated by producing work that informs and inspires

Location & Commitment

  • Atlanta local preferred to support periodic client visits; remote candidates will be considered if able to travel in for key meetings as needed
  • ASAP through October 9, 2026
  • 40 hours/week
  • Expected weekly compensation: 3,000 to 3,400 USD

Apply