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Football Data Science Jobs (NOW HIRING)

AI - Data Engineer

Nashville, TN ยท On-site

$110K - $132K/yr

... athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air ... Work closely with cross functional team to align data science initiatives with business priorities

Exposure to the data science process and tech stack * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies ...

Rust Engineer

San Francisco, CA ยท On-site +1

$170K/yr

Exposure to the data science process and tech stack * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies ...

... 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 ...

... 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 ...

Computer Vision Engineer

$114K - $134K/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 ...

... 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 ...

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Trading Analyst

San Francisco, CA ยท On-site +1

$80K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

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Football Data Science information

See salary details

$18K

$105.4K

$205K

How much do football data science jobs pay per year?

As of Jul 4, 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:
Infographic showing various Football Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 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.
AI - Data Engineer

AI - Data Engineer

Creative Artists Agency (CAA)

Nashville, TN โ€ข On-site

$110K - $132K/yr

Full-time

Posted 26 days ago


Job description

Job Description
Who We Are
Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA's diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world's top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.
The Role
The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and build intelligent systems that transform complex information into structured knowledge and actionable insights using modern AI, machine learning, and generative approaches to solve complex business problems. You will operate across the full lifecycle, from experimentation and evaluation to deployment and optimization, developing solutions that ingest, interpret, and reason over large volumes of data. The ideal candidate combines strong software engineering fundamentals with hands on experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.
Responsibilities
Development of AI Solutions
  • Design and implement end to end AI workflows for complex data interpretation, knowledge extraction, and reasoning

  • Build systems that convert unstructured content into structured representations

  • Develop and optimize retrieval approaches that combine semantic and lexical search techniques

  • Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases

  • Partner with engineering teams to develop technology infrastructure

  • Optimize systems for latency, cost, and throughput

Evaluation, Reliability, and Quality
  • Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions

  • Apply techniques to improve consistency, accuracy, and trustworthiness of outputs

  • Implement methods for scoring, explainability, and ongoing quality assurance

  • Monitor deployed solutions and data pipelines for performance, stability, and data quality over time

Data Wrangling:
  • Identify data sources that can be useful to answer business questions

  • Perform experiments on ingested data to evaluate quality and integrity

  • Build data pipelines for ongoing data extraction

Collaboration and Communication
  • Work closely with cross functional team to align data science initiatives with business priorities

  • Partner with leadership to identify and prioritize high impact opportunities for data science applications

  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Qualifications
  • Minium of 6 years building AI, Machine Learning and NLP solutions

  • Minimum 3 years building applied AI/LLM and generative systems in production environments

  • Bachelor's degree in a relevant field such Mathematics, Science, Engineering, or Computer Science. Master's Degree in relevant discipline preferred

  • Strong programming skills in Python and experience building data and AI pipelines

  • Experience with information retrieval, semantic search, or knowledge driven systems

  • Experience with relational, non relational and semantic data stores

  • Strong software engineering fundamentals (APIs, system design, testing, version control)

  • Experience with Natural Language Processing methods and applications preferred

  • Excellent analytical and problem solving skills

  • Demonstrated initiative and ownership of tasks and projects

  • Ability to prioritize, coordinate, and complete tasks to meet deadlines

  • Ability to work effectively both independently and in team environments

  • Ability to present complex problems in simple terms

Location
This role is hybrid, based in our Nashville office.
Compensation
The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.
Creative Artists Agency, LLC (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of race (inclusive of traits historically associated with race, including hair texture and protective hairstyles), color, religion, creed, gender or sex (including pregnancy, childbirth, breastfeeding or related medical conditions), national origin, ancestry, age, physical disability, mental disability, medical condition, genetic information, family and medical care leave status, military or veteran status, marital status, family status, sexual orientation, gender identity, gender expression, political affiliation, an employee's or their dependent's reproductive health decision making (e.g., the decision to use or access a particular drug, device or medical service), or any other characteristic protected by applicable law.
The absence of a permanent address is not a bar to employment. The Company does not discriminate against individuals based on housing status, including the absence of a fixed address.
The Company also complies with the Americans with Disabilities Act and applicable state and local laws with regard to providing reasonable accommodation for qualified individuals with disabilities.
CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.