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Sports Analytics Artificial Intelligence Jobs (NOW HIRING)

DCCA

Artificial Intelligence

Bethesda, MD · On-site

They are seeking an Artificial Intelligence professional responsible for developing and implementing AI and machine learning solutions, analyzing complex data sets, and advising on appropriate ...

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Sports Analytics Artificial Intelligence information

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$11K

$102.9K

$133K

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

As of Aug 6, 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 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 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.
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What cities are hiring for Sports Analytics Artificial Intelligence jobs? Cities with the most Sports Analytics Artificial Intelligence job openings:
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What job categories do people searching Sports Analytics Artificial Intelligence jobs look for? The top searched job categories for Sports Analytics Artificial Intelligence jobs are:
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 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Cybersecurity Analyst (Artificial Intelligence)

TiltEdge Solutions LLC

Washington, DC • On-site

$75/hr

Contractor

Re-posted 7 days ago

Job description

Job Title: Senior Cybersecurity Analyst (Artificial Intelligence)
Location: Washington D.C
Duration: 6-12 Months
Rate: DOE
 
Job Description:

Senior Cybersecurity Analyst (Artificial Intelligence)

Position Overview

We are seeking up to two (2) Cybersecurity Analysts with experience implementing artificial intelligence (AI) for computer network defense including intrusion detection, prevention and incident response activities. The ideal candidate will have deep expertise with traditional cybersecurity operations, activities, and technologies. The ideal candidate will also have experience working with a variety of AI technologies and models in a cybersecurity context. This position will require the development and delivery of AI-enabled cybersecurity processes, tools, and capabilities.

Key Responsibilities

  • Implement AI-enabled solutions for cybersecurity operations and adapt existing processes to integrate emerging AI capabilities into standard operations.
  • Provide key requirements, observations, design suggestions, and artifacts to inform the development of AI technologies that will support the adoption of AI technology into cybersecurity operations.
  • Monitor real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and analyze raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems and use that information to inform the creation of AI-enabled cyber defense capabilities.
  • Author and implement custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Use security orchestration and automation tools, augmented with AI, to triage events and suggest improvements on existing detections to reduce false positives and rapidly remediate redundant or repetitive detections.
  • Investigate network anomalies and respond to cybersecurity incidents with a focus on AI-enabled cybersecurity operations.
  • Abide by all governance and standards as defined by the Board or levied by external entities to remain compliant with all requirements when implementing AI solutions.
  • Develop analytic products and reports that demonstrate the effectiveness of AI-enabled cybersecurity operations to include metrics, incident reports, and threat hunt analysis reports.

Required Qualifications

  • 5+ years of hands-on cybersecurity operations experience that includes use of technologies such as Splunk, CrowdStrike, Palo Alto, Trellix (FireEye), CoreLight, Cisco Firepower Threat Defense, etc.
  • 3+ years of hands-on cybersecurity operations experience that includes cloud resident technologies in Amazon Web Services, Microsoft Azure, Service Now, etc.
  • Hands on experience implementing AI solutions for a Security Operations Center (SOC) or Cybersecurity Operations team.
  • Experience using intrusion detection, prevention, and analysis platforms that are designed to identify and/or technically counter attempted intrusions.
  • Experience authoring and implementing custom detection content for signature-based detection systems, security information and event management (SIEM) systems, host-based detection systems, and firewall logic.
  • Experience monitoring real-time network activity flagged by a variety of intrusion detection, prevention, and analysis platforms and experience analyzing the resulting raw data, metadata, and event logs to confirm suspected intrusion attempts into either local (on-premises) or cloud computing systems.

Preferred Qualifications

  • Demonstrated experience implementing AI-enabled cybersecurity solutions in a SOC environment.
  • Experience operating in government environments that follow NIST, FISMA, FedRAMP, and OMB guidance.
  • Strong problem-solving and analytical skills
  • Excellent communication and documentation skills