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Data Science Sports Jobs in Texas (NOW HIRING)

University of Kentucky

$72K - $119K/yr

Education Requirement Bachelor's degree in Sports Management, Statistics, Data Analytics, Exercise Science, Sports Administration, Kinesiology, Business Administration, or related field. Master ...

10 Squared LLC

Senior Coach

Austin, TX · On-site

Data monitoring, accountability and tracking via selected devices and software platforms * Initiate ... Recognized tertiary qualifications in exercise science, sports physiology, strength and ...

10 Squared LLC

Senior Coach

Austin, TX · On-site

$110K - $130K/yr

Data monitoring, accountability and tracking via selected devices and software platforms * Initiate ... Recognized tertiary qualifications in exercise science, sports physiology, strength and ...

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All JobsData Science Sports JobsData Science Sports Jobs in Texas

Data Science Sports information

See Texas salary details

$19.8K

$93.7K

$179.4K

How much do data science sports jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science sports in Texas is $93,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,212.00 and $135,432.00 per year, depending on experience, location, and employer.

What is a Data Science Sports?

A Data Science Sports job involves using data analytics, machine learning, and statistical models to extract insights from sports-related data. Professionals in this field analyze player performance, team strategies, injury prevention, and fan engagement to help teams, coaches, and organizations make data-driven decisions. They work with large datasets, build predictive models, and create visualizations to uncover trends and patterns. This role is essential in modern sports for optimizing performance, scouting talent, and enhancing the overall fan experience.

What does a Data Science Sports professional do?

In a Data Science Sports role, your daily tasks often involve extracting, cleaning, and analyzing large sets of sports-related data to uncover performance trends or predictive insights. You’ll likely collaborate closely with coaches, scouts, and other team members to translate your findings into strategic recommendations. Creating data visualizations, building predictive models, and presenting reports to non-technical stakeholders are also common parts of the job. This dynamic environment requires adaptability and a passion for both sports and data-driven problem solving.

What skills and qualifications are needed for a Data Science Sports position?

To thrive in Data Science Sports, you need strong analytical skills, statistical knowledge, and experience with sports data combined with a background in mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, data visualization tools, machine learning platforms, and relevant sports analytics software is highly valuable. Effective communication, problem-solving abilities, and a collaborative mindset are crucial soft skills in this field. These competencies enable professionals to turn complex sports data into actionable insights that drive decision-making for teams, coaches, and organizations.

How much do data science sports make?

Data science roles in sports typically have salaries ranging from $60,000 to over $120,000 annually, depending on experience, location, and the level of responsibility. Professionals often use skills in statistics, machine learning, and data visualization tools to analyze athletic performance, team strategies, or fan engagement. Entry-level positions may start lower, while senior roles or those in major leagues tend to pay higher salaries.

What do data science sports do in sports?

Data science professionals in sports analyze large datasets to improve team performance, player health, and game strategies. They use statistical models, machine learning, and data visualization tools to identify patterns and inform decision-making in areas like player recruitment and game tactics.

What are the most commonly searched types of Data Science Sports jobs in Texas?

The most popular types of Data Science Sports jobs in Texas are:

What are popular job titles related to Data Science Sports jobs in Texas?

For Data Science Sports jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Science Sports jobs in Texas look for?

The top searched job categories for Data Science Sports jobs in Texas are:

What cities in Texas are hiring for Data Science Sports jobs?

Cities in Texas with the most Data Science Sports job openings:

Data Science Sports jobs near you
Infographic showing various Data Science Sports job openings in Texas as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $93,672 per year, or $45 per hour.

Full-Stack Developer (AI-Augmented)

Texas Sports Academy

Austin, TX • On-site

$125 - $150/hr

Other

Re-posted 7 days ago

Job description

Texas Sports Academy is seeking a talented and passionate Full-Stack Developer (AI-Augmented) to join our innovative tech team. As a leader in the sports training industry, we leverage cutting-edge technology to enhance athletic performance, offering customizable solutions for athletes and coaches. In this role, you will be responsible for the design, development, and maintenance of our comprehensive web applications that integrate advanced AI technologies. Your expertise will help us to improve user experience, implement robust features, and ensure seamless performance across platforms. You will collaborate closely with cross-functional teams, including data scientists and UX/UI designers, to transform concepts into powerful software solutions that meet our clients' needs. The ideal candidate will have a strong passion for sports technology and a commitment to leveraging AI to revolutionize the way athletes train. With a dynamic work environment and projects that push the boundaries of sports performance, you will have the opportunity to contribute significantly to the future of athletics and play a vital role in shaping how technology integrates with sports.


Responsibilities
  • Design and develop scalable web applications utilizing various technologies across the stack.
  • Integrate AI algorithms and models to enhance user engagement and performance metrics.
  • Collaborate with data scientists and designers to conceptualize features that meet user needs.
  • Maintain and improve existing software applications to ensure optimal functionality and user experience.
  • Conduct regular code reviews and provide constructive feedback to team members.
  • Develop and implement testing strategies to ensure software reliability and performance.
  • Document processes, specifications, and code to ensure team alignment and knowledge sharing.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Proven experience as a Full-Stack Developer with a deep understanding of front-end and back-end technologies.
  • Strong proficiency in programming languages such as JavaScript, Python, or Java.
  • Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Flask).
  • Familiarity with AI technologies and machine learning concepts.
  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.
  • Strong communication skills and the ability to convey technical information effectively.
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