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Sports Analytics Artificial Intelligence Jobs (NOW HIRING)

Nwacc

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

NorthWest Arkansas Community College

Bachelor's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering, Business Analytics, or a related field * Demonstrated knowledge or experience with ...

Digitalhealthnews

$94.82 - $118.53/hr

Research Scientist Artificial Intelligence Location: Forchheim, Germany Job Type: Full-Time ... You excel by the capability to work in a team, by analytical thinking and problem solving skills ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Excellent problem-solving and analytical skills, with a keen eye for detail. * Strong communication ...

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How much do sports analytics artificial intelligence jobs pay per year?

As of Aug 23, 2026, the average yearly pay for sports analytics artificial intelligence in the United States is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $132,500.00 per year, depending on experience, location, and employer.

What is sports analytics artificial intelligence?

Sports Analytics Artificial Intelligence refers to the use of AI technologies and machine learning algorithms to analyze sports data and generate insights. This field helps teams, coaches, and organizations make data-driven decisions regarding player performance, game strategies, and injury prevention. AI in sports analytics can process vast amounts of data from games, training sessions, and wearable devices to identify trends and optimize outcomes. The goal is to gain a competitive edge by leveraging advanced analytics that go beyond traditional statistics.

How do sports analytics artificial intelligence professionals collaborate with coaches and athletes to apply data-driven insights?

Sports Analytics Artificial Intelligence professionals work closely with coaches and athletes to translate complex data and predictive models into actionable strategies. They often participate in regular meetings to present findings, explain the implications of AI-driven analyses, and recommend tactical adjustments based on real-time or historical data. Building trust and clear communication is key, as they must bridge the gap between technical insights and practical sports applications, ensuring that data enhances player performance and team outcomes. This collaborative environment fosters ongoing learning and adaptation for both analysts and sports staff.

What are the key skills and qualifications needed to thrive as a sports analytics artificial intelligence specialist?

To thrive as a Sports Analytics Artificial Intelligence Specialist, you need a solid background in data science, machine learning, statistics, and a relevant degree such as computer science or mathematics. Familiarity with programming languages like Python or R, experience with machine learning frameworks (e.g., TensorFlow, PyTorch), and proficiency in sports data platforms are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data insights into actionable strategies for teams or organizations. These skills are crucial for driving data-driven performance improvements and gaining competitive advantage in the sports industry.

What jobs can you get with a sports analytics artificial intelligence degree?

A degree in sports analytics artificial intelligence can lead to roles such as sports data analyst, performance analyst, or sports AI developer. These positions involve analyzing athletic performance data, developing predictive models, and using tools like machine learning and statistical software to inform team strategies and player evaluations.
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Sports Analytics Artificial Intelligence jobs near you
Infographic showing various Sports Analytics Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 59% Full Time, 7% Part Time, 7% Temporary, and 27% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Artificial Intelligence Integrator (N)

SimIS Inc.

Norfolk, VA • On-site

Full-time

Re-posted 9 days ago

Job description

Job Summary:
SimIS Inc. is an innovative information technology solution Veteran Owned Small Business that focuses on securing enterprises from threats and ensuring client mission success. They are seeking an Artificial Intelligence Integrator to facilitate collaboration and integration of AI technologies to enhance NATO's capabilities in military strategy and operational analysis.
Responsibilities:
• Contribute to the integration of artificial intelligence in NATO’s warfare development efforts and capability development
• Collaborate with wargaming experts to identify key areas where AI can enhance wargaming design, scenario development, analysis, adjudication, and support to human teams
• Support the integration of traditional AI methods and specifically generative AI (Large Language Models/LLMs) into wargaming, improving, for example, strategic depth, and enhanced execution of wargames
• Develop real-time analytics and visualizations to support decision-making during wargaming simulations, for example, using Power BI
• Support human-machine teaming by integrating AI tools that enhance collaboration between human participants and AI systems
• Design and conduct experiments to test the effectiveness of AI applications in wargaming scenarios
• Document and present findings from AI integration experiments to stakeholders, proposing continuous improvements
Qualifications:
Required:
• BS degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science
• Minimum of 5 years’ experience in data science, machine learning, or AI engineering in a professional work environment.
• Minimum of 3 years’ experience integrating AI technologies into practical applications, preferably in simulation or wargaming contexts
• Minimum of 3 years’ experience in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI
• Proficiency in AI and machine learning frameworks and tools such as TensorFlow, PyTorch, scikit-learn, etc
• Experience with generative AI models, in particular Large Language Models (LLMs) like GPT-3 or GPT-4
Company:
SimIS is an IT company specializing in cybersecurity services. Founded in 2007, the company is headquartered in Suffolk, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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