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Freelance Football Data Science Jobs (NOW HIRING)

Data Scientist

Manhattan, NY ยท On-site

$73K - $112K/yr

... Data Science practice. We're looking for relevant academic, research or work experience, which ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY ยท On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY ยท On-site

$72K - $109K/yr

... Data Science practice. Qualifications We're looking for relevant academic, research or work ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Manhattan, NY ยท On-site

$73K - $112K/yr

... Data Science practice. We're looking for relevant academic, research or work experience, which ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Engineer

$117K - $140K/yr

... 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 ...

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Freelance Football Data Science information

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$47

$132

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

As of Jun 10, 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, and why are they important?

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 June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Manager, Data Science and Analytics

Publicis Groupe Holdings B.V

Birmingham, MI โ€ข On-site

$91K - $119K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Company Description
Hi there! We're Razorfish. We've been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What's different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.
Overview
We are looking for a results-driven Data Scientist Manager to lead end-to-end analytics initiatives and build scalable models that drive business impact. This role requires a strong foundation in statistical modeling, hands-on coding in Python and SQL, and the ability to translate data into strategic insights. You'll partner closely with cross-functional teams and mentor junior team members.
Responsibilities
  • Lead the development, validation, and deployment of predictive and statistical models to solve key business problems
  • Analyze structured and unstructured data using Python, SQL, and relevant ML/AI frameworks
  • Design and execute experiments (e.g., A/B tests), interpret results, and recommend data-driven decisions
  • Collaborate with product, marketing, and engineering teams to define analytics goals and influence strategy
  • Build dashboards or self-service tools to scale insights across the business
  • Document analytical approaches and present findings to both technical and non-technical audiences
  • Mentor junior analysts and data scientists, contributing to best practices and code reviews

Qualifications
  • 5-7 years of experience in data science, advanced analytics, or related roles
  • Advanced Python skills for data analysis, modeling, and ML (pandas, scikit-learn, XGBoost, etc.)
  • Expert-level SQL for complex data querying and transformation
  • Proven experience applying statistical modeling and machine learning techniques in production
  • Experience in working with cloud platforms, such as GCP, Azure, AWS, etc.
  • Experience with analytic tools, such as Adobe Analytics, Google Analytics, etc.
  • Strong communication and storytelling skills with data

Additional Information
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
  • Tuition Assistance
  • Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
  • Matching Gifts programs
  • Flexible working arrangements
  • 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
  • Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $91,800- $119,300. 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 9/5/25.
Compensation Range: USD $87,210.00 - USD $119,300.00/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 12/1/2025.