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Football Data Science Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/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 ...

indianapoliscolts

Data Engineer

Indiana, PA · On-site

$104K - $125K/yr

This is a full-time position working from our main offices at the Indiana Farm Bureau Football ... QUALIFICATIONS · Bachelor's degree in Computer Science, Information Systems, or a related field.

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This is a full-time position working from our main offices at the Indiana Farm Bureau Football ... QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field.

Southampton Football Club

Academy Coach

Campus, IL

$18.25 - $24.75/hr

Additionally, you will contribute to cross-departmental projects aimed at enhancing the use of data ... Undergraduate degree in sports coaching, sports science, performance analysis, or related subject ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

This is a full-time position working from our main offices at the Indiana Farm Bureau Football ... QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field.

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How much do football data science jobs pay per year?

As of Jun 10, 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:
Football Data Science jobs near you
Infographic showing various Football Data Science job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $105,382 per year, or $50.7 per hour.
Trading Analyst

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

$70K/yr

Full-time

Posted 16 days ago

Job description

Company Overview
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description - This position is 100% Remote
Duties:
  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions

Requirements:
  • Minimum of 3 years of in-play experience at a sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills - ability to understand and calculate + convert odds on the fly
  • Results driven work ethic - focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays

Preferred:
  • Bachelor's Degree in a STEM discipline
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Salary: $70,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Trading Operations Locations San Francisco, CA - Remote Remote status Fully Remote

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