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Freelance Football Data Science Jobs (NOW HIRING)

Senior Data Scientist

Chicago, IL · On-site

$89 - $127/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... science, computer science, engineering, marketing or social science methods. * Hands‑on ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

NY · On-site

$120 - $180/hr

Practical hands‑on experience in data science or advanced analytics is required. * Proficient in ... Please note that this is a permanent position and we do not offer freelance/contract arrangement ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science, computer science, engineering, marketing or social science methods, or equivalent ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY

$72K - $109K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data science, computer science, engineering, marketing or social science methods, or equivalent ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Engineer

$160K - $190K/yr

  • Medical

  • Retirement

... football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia. Our data-driven platform ...

... science, performance analysis, or analytics roles within professional football or elite sports. * Hands-on background with player monitoring technologies. * Familiarity with football specific data ...

... data science, performance analysis, or analytics roles within professional football or elite sports. • Hands-on background with player monitoring technologies. • Familiarity with football ...

Showing results 21-40

Freelance Football Data Science information

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$14

$47

$132

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

As of Aug 15, 2026, the average hourly pay for freelance football data science 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 are some common challenges faced by freelance football data scientists when working with clubs or sports organizations?

Freelance football data scientists often encounter challenges such as gaining access to high-quality, comprehensive datasets and aligning their analysis with the unique goals of each client. Communication can also be demanding, as explaining complex insights to coaches or executives with varying levels of statistical understanding is crucial. Additionally, balancing multiple projects and managing expectations around deadlines and deliverables requires strong organizational skills. Building trust and credibility as an external consultant is essential for long-term collaborations.

What is the difference between Freelance Football Data Science vs Freelance Sports Data Analyst?

AspectFreelance Football Data ScienceFreelance Sports Data Analyst
CredentialsBackground in data science, statistics, or related fields; familiarity with football analyticsBackground in sports management, statistics, or data analysis; broader sports knowledge
Work EnvironmentProject-based, remote or freelance; focused on football-specific dataProject-based, remote or freelance; covers various sports including football
Industry UsageUsed mainly by football clubs, analytics firms, and media outletsUsed by sports teams, broadcasters, and research firms across multiple sports

Freelance Football Data Science specializes in football-specific data analysis, requiring expertise in football metrics and data science. In contrast, Freelance Sports Data Analysts work across multiple sports, applying broader sports analytics skills. Both roles are freelance, project-based, and often remote, but differ mainly in their focus and industry application.

What is freelance football data science?

Freelance football data science involves independent professionals who analyze football-related data to provide insights on player performance, match strategies, recruitment, and more. These freelancers use statistical techniques, machine learning, and data visualization tools to help clubs, agencies, media, or betting companies make informed decisions. Unlike full-time staff, freelance football data scientists work on a project-by-project basis, offering flexibility and specialized expertise. They often collect, clean, and interpret large datasets from matches, tracking systems, or public databases to deliver actionable recommendations.

What are the key skills and qualifications needed to thrive as a freelance football data scientist?

To thrive as a Freelance Football Data Scientist, you need a strong background in statistics, programming (such as Python or R), and a solid understanding of football analytics, often supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and football-specific data providers like Opta or Wyscout is typically expected. Strong communication, problem-solving skills, and the ability to translate complex data insights into actionable recommendations set top performers apart. These skills are crucial for delivering valuable, client-focused insights that inform player evaluation, match analysis, and strategic decision-making in a highly competitive sports industry.
More about Freelance Football Data Science jobs

What cities are hiring for Freelance Football Data Science jobs?

Cities with the most Freelance Football Data Science job openings:

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

The most popular types of Football Data Science jobs are:

What states have the most Freelance Football Data Science jobs?

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

Infographic showing various Freelance Football Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Data Scientist

Socket.dev

Chicago, IL • On-site

$89 - $127/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.


The Digitas culture is made up of fearless, inventive and generous Unicorns of all kinds.


Overview

As a Senior Data Scientist, you’ll solve complex marketing and business challenges—from cross-channel media and customer experience optimization to segmentation, targeting and business strategy—by accessing, integrating, manipulating, mining and modeling a wide array of data sources.


Job Responsibilities

  • Translating and reframing marketing and business questions into analytical plans.

  • Using distributed computing systems to ingest, access and integrate disparate big data sources.

  • Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.

  • Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.

  • Building and testing scalable data pipelines or models for real-time applications.
  • Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.

  • Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.

  • Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.


We’re looking for

  • A Bachelor’s or Master’s degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.

  • Hands‑on experience mining data for decision‑focused insights.

  • Hands‑on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.

  • Hands‑on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and/or Spark preferred.

  • Demonstrated interest in marketing analytical applications.

  • Demonstrated self‑starter who thrives in a fast‑paced environment with flat structure.

  • Familiarity with prompt‑based interaction and commonly used generative AI tools (e.g., ChatGPT, Google Gemini, DALL·E, Midjourney) is a plus, especially for tasks like ideation, research, or content generation.


Additional Information

Digitas is an equal opportunity employer.


Additional Information

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.


Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.


If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.


All your information will be kept confidential according to EEO guidelines.


Compensation Range: USD $88,540.00 - USD $127,155.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/15/2026.


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