1

Football Data Science Jobs (NOW HIRING)

... Football League, English Premier League, International Olympic Committee, National Hockey League ... We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and ...

... Football League, English Premier League, International Olympic Committee, National Hockey League ... We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and ...

... Football League, English Premier League, International Olympic Committee, National Hockey League ... We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and ...

... Football League, English Premier League, International Olympic Committee, National Hockey League ... We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and ...

... data science teams, and practical experience shipping LLM- or ML-powered features such as ... golf to football to basketball and more, plus exclusive streaming rights for major sports ...

Showing results 41-60

Football Data Science information

See salary details

$18K

$105.4K

$205K

How much do football data science jobs pay per year?

As of Jul 25, 2026, the average yearly pay for football data science in the United States is $105,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Football Data Science position, and why are they important?

To thrive in Football Data Science, a strong background in statistics, data analysis, and programming (often with a degree in mathematics, computer science, or a related field) is essential. Proficiency with technical tools such as Python, R, SQL, and specialized sports analytics software, as well as relevant certifications or experience with machine learning, is highly valued. Strong communication skills, teamwork, and the ability to present complex findings to non-technical stakeholders help practitioners excel. These abilities enable data scientists to deliver actionable insights for team performance, recruitment, and strategic planning, which are critical to success in this data-driven field.

What is a Football Data Science job?

A Football Data Science job involves analyzing football-related data to extract insights that can help teams, analysts, and decision-makers improve performance and strategy. This role typically includes working with player tracking data, match statistics, and scouting reports to create predictive models, visualizations, and performance metrics. Professionals in this field use programming languages like Python or R, along with machine learning and statistical techniques, to analyze large datasets. The insights gained can influence tactical decisions, player recruitment, injury prevention, and opposition analysis.

What are some typical daily tasks for someone working in Football Data Science?

A typical day in Football Data Science may involve gathering and cleaning match data, building statistical models to analyze player and team performance, and generating reports or dashboards for coaching staff and management. You might also work on developing predictive metrics, collaborating with scouts to analyze potential recruits, and communicating findings to various stakeholders. Regular meetings with analysts, coaches, and technical teams are common to ensure alignment on objectives and data-driven strategies. This role often balances independent analysis with collaborative teamwork, making it dynamic and closely tied to both match preparation and long-term club strategy.

More about Football Data Science jobs
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 Football Data Science jobs? States with the most job openings for Football Data Science jobs include:
What job categories do people searching Football Data Science jobs look for? The top searched job categories for Football Data Science jobs are:
Infographic showing various Football Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,382 per year, or $50.7 per hour.
Product Manager

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Who We Are:
IMG is a leading global sports marketing agency, specializing in media rights management and sales, multi-channel content production and distribution, brand partnerships, strategic consulting, digital services, and events management. It powers growth of revenues, fanbases and IP for more than 200 federations, associations, events, and teams, including the National Football League, English Premier League, International Olympic Committee, National Hockey League, Major League Soccer, ATP and WTA Tours, the AELTC (Wimbledon), Euroleague Basketball, CONMEBOL, DP World Tour, and The R&A, as well as UFC, WWE, and PBR. IMG is a subsidiary of TKO Group Holdings, Inc. (NYSE: TKO), a premium sports and entertainment company.TKO Group Holdings, Inc. (NYSE: TKO) is a premium sports and entertainment company. TKO owns iconic properties including UFC, the world's premier mixed martial arts organization; WWE, the global leader in sports entertainment; and PBR, the world's premier bull riding organization. Together, these properties reach 1 billion households across 210 countries and territories and organize more than 500 live events year-round, attracting more than three million fans. TKO also services and partners with major sports rights holders through IMG, an industry-leading global sports marketing agency; and On Location, a global leader in premium experiential hospitality.
What You'll Do:
The Product Manager role sits within the Data Services department responsible for data applications across the company's divisions globally from Big Data, Data Warehousing, Business Intelligence, Analytics and Data Science. We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and other supporting roles such as DevOps, Security and Architecture.
As a Product Manager within TKO Data & AI Services department, you will be responsible for managing the entire product lifecycle, from high-level strategy to hands-on execution. You'll define the product vision, conduct market research, and craft long-term roadmaps while also getting deeply involved in the day-to-day work-creating detailed user stories, prioritizing the backlog, and collaborating with the development team in Agile ceremonies. This role demands a balance between strategic thinking and detailed execution, making you a key driver of the product's success.
Responsibilities
  • Translate high-level business goals into detailed user stories with clear acceptance criteria, workflows, and diagrams where necessary.
  • Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies.
  • Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and definitions are accurate, accessible, and up to date.
  • Define and communicate a clear product vision and strategy, ensuring alignment with departmental and company goals.
  • Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies. Conduct market research to identify trends, opportunities, and areas for product innovation.
  • Explore and assess opportunities to embed AI and emerging technologies into data products, bringing forward innovative use cases and solutions that create measurable business impact.
  • Utilise strong technical acumen to dive deeply into data such as running SQL queries, providing basic data modelling, and understanding data technology and architecture to effectively collaborate with engineering teams.
  • Use data and metrics to track product portfolio performance, including KPIs, ROI, and value delivery, to inform prioritisation and investment decisions.
  • Manage project budgets and resources, ensuring alignment with financial objectives.
  • Take part in Agile ceremonies such as sprint planning, backlog refinement, and stand-ups, ensuring close collaboration with Data Engineers, Data Analysts, Data Scientists, and other cross-functional team members.
  • Continuously improve Agile processes within the team and foster a collaborative environment that embraces feedback and adaptation.
  • Develop and maintain product roadmaps, ensuring stakeholders and clients are informed of progress, changes, and alignment with broader company goals.
  • Act as the main point of contact between clients and the development team, gathering feedback and incorporating it into the product development process.
  • Deliver product updates and roadmap presentations to both internal and external stakeholders, soliciting input for future improvements.
  • Set stakeholder expectations, proactively addressing any risks or issues to ensure smooth and timely product releases.
  • Maintain detailed product documentation, including user guides, business rules, data models, and release notes.
  • Work closely with data architects and engineers to translate business requirements into actionable technical features.
  • Perform data validation and quality checks, ensuring accuracy and consistency, and assist stakeholders in UAT when required.
  • Be accountable for maintaining the data catalogue for your products and ensure it remains up to date.

You Have These:
  • 5+ years of experience in Product Management or a related role.
  • Bachelor's degree in information systems, Computer Science, or equivalent experience.
  • Proven experience managing all aspects of the product lifecycle, from strategic planning to hands-on execution.
  • Excellent knowledge and experience in Agile methodologies, including leading ceremonies and backlog management.
  • Excellent stakeholder management and proactive communication skills.
  • Excellent organizational and forward-planning abilities.
  • Experience in crafting clear, actionable user stories and maintaining comprehensive product documentation.
  • A natural problem-solver with a curious, analytical mindset.
  • Solid understanding of data products, including data science, analytics, reporting, and Big Data technologies.
  • Ability to work effectively under pressure, prioritizing tasks in a fast-paced environment.
  • Technical fluency to understand and communicate product details with the development team.
  • Always maintain complete confidentiality and discretion - all TKO employees are required to sign a confidentiality agreement, and any breach of this agreement will result in immediate disciplinary procedures.

Preferred Skills
  • Experience with product management tools like JIRA/TFS.
  • Familiarity with data security regulations (GDPR, CCPA) and delivering cloud-based solutions.
  • Industry knowledge in sectors such as media, sports, events, and other areas TKO operates in.

Additional Responsibilities and Duties when necessary
  • Available to work out of normal business hours and weekends when required

Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
Hiring Rate Minimum:
$93,750 annually(minimum will not fall below the applicable State/local minimum salary thresholds)
Hiring Rate Maximum:
$125,000 annually
TKO is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws regarding non-discrimination in employment. TKO makes employment decisions based on merit and qualifications, without considering an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing non-discrimination in employment in every location in which the Company has facilities. TKO also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and applicable state or local laws. For information about Privacy and Information Security for TKO employment candidates, please review our Privacy Policy. For information regarding Terms of Use for this and other TKO websites, please review our Terms of Use.