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Freelance Data Science Sports Jobs (NOW HIRING)

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

Data Science Manager

Jersey City, NJ · On-site

$149 - $186/hr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

Data Science Manager

Manhattan, NY · On-site

$149 - $186/hr

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

THE POSITION Our roster has an opening with your name on it We are looking for a Data Science Manager for our Sports Modeling & Innovation team to tackle our most challenging sports modeling problems.

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 ...

... sports betting and gaming industry. Experience and Skills * 0-2 years proven experience in a data science or advanced analytics role. * Degree in a quantitative field, e.g., Mathematics, Physics ...

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Freelance Data Science Sports information

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$14

$47

$132

How much do freelance data science sports jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for freelance data science sports in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is a freelance data science sports professional?

A Freelance Data Science Sports professional is an independent contractor who uses data science techniques, such as statistical analysis, machine learning, and data visualization, to analyze and interpret sports data. They work with sports organizations, teams, media companies, or betting agencies to help improve performance, make predictions, or extract insights from game statistics. Their projects can range from player performance analysis to developing predictive models for game outcomes. Freelance professionals typically manage their own workloads and clients, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a freelance data science sports professional?

To thrive as a Freelance Data Science Sports professional, you need solid statistical analysis skills, proficiency in data manipulation, and a strong understanding of sports analytics, typically supported by a degree in statistics, mathematics, or computer science. Mastery of tools such as Python or R, data visualization platforms, and experience with sports data APIs are highly valuable. Strong communication, problem-solving, and self-management skills help you effectively interpret data insights and manage client relationships. These skills are crucial for delivering actionable insights and maintaining client satisfaction in a dynamic, results-driven industry.

What are some common challenges freelance data scientists face when working on sports analytics projects?

Freelance data scientists in the sports industry often encounter challenges like accessing high-quality, up-to-date datasets, as sports organizations may have strict data privacy policies. Additionally, communicating complex analytical findings to non-technical stakeholders, such as coaches or athletes, requires strong visualization and storytelling skills. Freelancers must also effectively manage their time and deliverables, as project scopes and timelines can change rapidly depending on client needs and sporting seasons.

What is the difference between Freelance Data Science Sports vs Freelance Data Analysis Sports?

AspectFreelance Data Science SportsFreelance Data Analysis Sports
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, basic statistical analysis, reporting
Work EnvironmentProject-based, remote or on-site, collaboration with sports teams or companiesRemote or freelance projects, often with sports organizations or media
Industry UsageDeveloping predictive models, athlete performance analysis, sports analytics platformsGenerating reports, analyzing game data, providing insights

Freelance Data Science Sports involves advanced analytics, machine learning, and predictive modeling, often requiring programming skills. Freelance Data Analysis Sports focuses on interpreting data, creating reports, and providing insights with less emphasis on complex algorithms. Both roles serve the sports industry but differ in technical depth and scope.

More about Freelance Data Science Sports jobs

What cities are hiring for Freelance Data Science Sports jobs?

Cities with the most Freelance Data Science Sports job openings:

What are the most commonly searched types of Data Science Sports jobs?

The most popular types of Data Science Sports jobs are:

What states have the most Freelance Data Science Sports jobs?

States with the most job openings for Freelance Data Science Sports jobs include:

Infographic showing various Freelance Data Science Sports job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Visualization Designer - Freelance

AKQA

Atlanta, GA • Remote

Full-time

Posted 7 days ago


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