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Freelance Football Data Science Jobs (NOW HIRING)

... advanced data science and AI solutions at scale. Our platform integrates a streamlined model ... Brief, direct and edit external contributors - freelancers, agencies and subject matter experts and ...

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

Freelance Medical/Grant Writer

Tampa, FL · On-site

$20 - $25.75/hr

Conduct literature reviews, background research, data compilation, and scientific content ... Freelance / Independent Consultant Reports to: GVN Scientific Program Manager Why Join GVN? * Work ...

Freelance Medical/Grant Writer

Tampa, FL · On-site

$20 - $25.75/hr

Conduct literature reviews, background research, data compilation, and scientific content ... Freelance / Independent Consultant Reports to: GVN Scientific Program Manager Why Join GVN? * Work ...

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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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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 Jun 28, 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:
What job categories do people searching Freelance Football Data Science jobs look for? The top searched job categories for Freelance Football Data Science jobs are:
Content Marketing Manager

Full-time

Medical, Dental, Vision, Retirement

Posted 25 days ago


Job description

Who we are
At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, NetApp and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai
What we are building
Demand Generation is responsible for creating pipeline and managing all aspects of it - from the channels (email, digital, web, paid social) to the systems on which we build campaigns, and to the partnerships with our GTM teams, including Sales, RevOps, Customer Success, and Professional Services. This team connects strategy to execution to measurable pipeline outcomes.
The Content Marketing Manager will own the words that power our demand engine as well as the system that produces them at scale. This is an editorial and production role for a performance-obsessed content marketer who operates like a producer: someone who can write a sharp 1,200-word SEO blog post and a five-word subject line, brief a freelancer to do either, and edit both to a publishable standard. You will work closely with vertical marketers, product marketing managers (PMMs) and channel owners to translate Domino's technical positioning into copy that educates, engages and converts and build the repeatable workflows that keep that content flowing.
What your impact will be
  • Own the editorial calendar and drive consistent, on-time content production across blog, email, social and web properties
  • Write high-quality, performance-optimized copy for demand gen campaigns: email sequences, subject lines, landing pages, social ads and CTAs
  • Brief, direct and edit external contributors - freelancers, agencies and subject matter experts and manage quality and brand voice across all sources
  • Act as editor-in-chief for content from executives, sales and technical SMEs, shaping rough ideas and drafts into polished, on-brand assets without losing the original voice
  • Build and maintain editorial templates, content briefs and production workflows that allow the team to scale output without sacrificing quality
  • Develop SEO-optimized blog content and thought leadership that builds Domino's authority with data science and AI audiences
  • Partner with vertical marketers and PMMs to adapt technical messaging into audience-appropriate content for practitioners, data science leaders and business buyers
  • Copyedit and enforce brand voice consistency across all content to raise the bar on quality across the team's output
  • Measure and report on content performance across channels, iterating based on engagement, conversion and pipeline data
  • Support campaign launches with copy for all companion assets: nurture tracks, social promotions and event materials

What we look for in this role
  • More than 3 years of B2B content marketing or copywriting experience, ideally in software as a service (SaaS) or a technical domain
  • Demonstrated editorial range: you write differently for a technical blog post than for a paid social ad, and you can brief someone else to do the same
  • Experience managing or editing external contributors such as freelancers, agencies or SMEs and a track record of raising output quality through editorial process, not just personal effort
  • Demonstrated ability to measure and improve content performance using data; you treat copy as a hypothesis to test, not a deliverable to ship and forget
  • Strong SEO fundamentals: on-page optimization and content planning for organic demand
  • Copyediting instincts and a sharp eye for brand voice, clarity and structure
  • Comfortable working in a fast-paced environment with multiple stakeholders and shifting priorities
  • Startup or high-growth experience a plus

What we value
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work.
  • We value all of you that believe improving is always possible. At Domino, everything is a work in progress - we can do better at everything.
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
Compensation Range
$110,000-$120,000 USD