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Football Data Science Jobs (NOW HIRING)

indianapoliscolts

Data Engineer

Indiana, PA

$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.

Paramount

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

... BS Computer Science, Engineering, a related technical degree, or equivalent professional ... football, including the Big Ten ON CBS; college basketball, including the NCAA Division I Men ...

Paramount

Sr Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

... • BS Computer Science, Engineering, a related technical degree, or equivalent professional ... football, including the Big Ten ON CBS; college basketball, including the NCAA Division I Men ...

Paramount

Lead Software Engineer - Apple

Burbank, CA · On-site

... 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 ...

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Football Data Science information

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How much do football data science jobs pay per year?

As of Aug 14, 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 football data science?

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?

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 does a football data scientist do?

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.

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What states have the most Football Data Science jobs?

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Football Data Science jobs near you
Infographic showing various Football Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $105,382 per year, or $50.7 per hour.

Data Engineer

indianapoliscolts

Indiana, PA

$104K - $125K/yr

Full-time

Re-posted 24 days ago

Job description

The Data Engineer plays a key role supporting our organization’s data ecosystem, contributing to the development, maintenance, and optimization of data pipelines and systems that power sales, marketing initiatives, fan engagement, and analytics efforts. Working within our data engineering team, this role assists in transforming raw data into reliable, accessible, and actionable information for internal stakeholders. The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ideal candidate is someone who thrives in a collaborative environment, is detail-oriented, and is passionate about building data solutions that drive business value.

This is a full-time position working from our main offices at the Indiana Farm Bureau Football Center. The successful candidate will embody the Colts core values in support of the team's mission to entertain, inspire and unite by winning the right way.

HIRING MANAGER

Vice President of Information Technology

RESPONSIBILITIES·         Data warehouse design, maintenance, performance tuning, and optimization.·         Design and manage ETL/ELT pipelines, data migrations, and data validation processes including data flows from NFL and third-party sources.·         Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure).·         Collaborate with CRM, Marketing, and Analytics teams to understand data needs and deliver reliable solutions.·         Develop modeled data sets for commercial business in collaboration the Analytics & Digital Innovation team.·         Monitor data flows and troubleshoot issues related to data ingestion, transformation, and delivery.·         Maintain data quality through validation, deduplication, and classification processes.·         Contribute to documentation of data processes, schemas, and workflows.·         Implement consumer privacy and consent processes through collaboration with the Privacy Coordinator to ensure compliance concerning PII, data lineage, and data governance.·         Implement cybersecurity best practices through collaboration with the Cybersecurity Engineer to ensure compliance with security controls and policies.·         Stay current with emerging technologies in data warehousing, pipelines, and reporting.·         Perform other duties as assigned.QUALIFICATIONS·         Bachelor’s degree in Computer Science, Information Systems, or a related field. An equivalent combination of education and experience may be considered.·         2 - 4 years of data engineering experience.·         Proficiency in Snowflake SQL/T-SQL and Python.·         Familiarity with Microsoft Azure and cloud-based data platforms.·         Understanding of APIs, version control (GitHub), and CI/CD workflows.·         Experience with reporting platforms, including modeling data in support of reporting and analysis.·         Preferred experience with Matillion, Melissa, Power BI, Salesforce, Ticketmaster, and Fanatics.·         Experience in the Sports and Entertainment industry is a strong plus.·         Strong problem-solving skills and attention to detail.·         Effective team collaboration, communication, and interpersonal skills.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 

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