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Computer Science Sports Jobs (NOW HIRING)

This role focuses on modeling player movement and applying data science methods to extract ... plates, IMUs, computer vision). * Contribute to internal research and innovation, including ...

... science support to a client within our Sports, Media and Entertainment practice. The primary ... Bachelor's degree in economics, mathematics, computer science/engineering, operations research or ...

Data Scientist

Anaheim, CA · On-site

$100K - $140K/yr

Academic background in hard science, such as physics, mathematics, computer science, engineering ... Company: OC Sports & Entertainment, LLC Our Commitment: We are committed to providing an ...

Academic background in hard science, such as physics, mathematics, computer science, engineering ... Company: OC Sports & Entertainment, LLC Our Commitment: We are committed to providing an ...

Data Scientist III

Denver, CO · On-site

$117K - $167K/yr

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ... Computer Science, Economics. * Strong SQL proficiency and strong proficiency in Python, with ...

Data Scientist

$95K - $110K/yr

... Computer Science, or a related field. * At least two years of experience in revenue (yield ... C, C++, Java) is a plus. * Knowledge of sports, concert, or ticketing industries is a plus.

Bachelor's degree in sports analytics, statistics, computer science, or related disciplines (post-graduate degree strongly preferred) * Exceptional ability in data exploration, quality, treatment ...

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Computer Science Sports information

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$20K

$64.3K

$130K

How much do computer science sports jobs pay per year?

As of Jun 16, 2026, the average yearly pay for computer science sports in the United States is $64,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $83,000.00 per year, depending on experience, location, and employer.

What is a Computer Science Sports job?

A Computer Science Sports job involves using technology, data analysis, and software development to improve various aspects of sports. Professionals in this field may work on performance analytics, sports simulations, wearable technology, or data-driven decision-making for teams and athletes. They often use programming, machine learning, and statistical analysis to optimize player performance, injury prevention, and game strategies. This role can be found in sports organizations, tech companies, and research institutions.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software development, data analysis, and AI research. AI advances create new opportunities for computer scientists to develop algorithms, tools, and systems, making the discipline more relevant than ever.

How is computer science used in sports?

Computer science in sports involves developing data analysis tools, performance tracking systems, and simulation models to improve athlete training and game strategies. Professionals in this field often work with programming languages, sensors, and machine learning algorithms to analyze large datasets and optimize outcomes.

What jobs pay $2000 a day?

High-paying roles in computer science and related fields, such as software architects, senior data scientists, and specialized consultants, can earn around $2000 or more per day, especially with extensive experience, advanced skills, and certifications. These positions often require expertise in areas like machine learning, cybersecurity, or cloud computing, and may involve consulting or contract work with flexible schedules.

What job makes $10,000 a month without a degree?

In the field of computer science sports or related tech roles, high-paying jobs such as software developers, data analysts, or cybersecurity specialists can reach or exceed $10,000 per month with relevant skills and experience, often without requiring a traditional degree. Success in these roles typically depends on demonstrated expertise, certifications, and a strong portfolio rather than formal education alone.

What are the key skills and qualifications needed to thrive in the Computer Science Sports position, and why are they important?

To succeed in a Computer Science Sports role, you should have a strong background in computer science fundamentals such as programming, data structures, and analytics, often paired with knowledge of sports science or management. Experience with data analytics tools, sport-specific software platforms, and programming languages like Python or R is highly valued, and certifications in areas such as data science or sports analytics can be advantageous. Excellent problem-solving, teamwork, and communication skills help in translating complex data insights to coaches, athletes, or executives. These abilities are important because they bridge the gap between technology and sports performance, driving informed decision-making and innovation in the athletic industry.

What are the typical daily responsibilities of someone in a Computer Science Sports position?

Individuals working in Computer Science Sports typically spend their days collecting and analyzing performance data, developing software tools or predictive models to support coaching decisions, and collaborating with multidisciplinary teams including coaches, trainers, and sports scientists. They may also be responsible for maintaining databases, visualizing data for reports, and ensuring data integrity across multiple sources. Regular meetings with stakeholders help ensure projects align with team goals and athletic objectives. This role offers a dynamic environment at the intersection of technology and sports, with the potential to directly impact athletic performance and strategy.

More about Computer Science Sports jobs
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What are the most commonly searched types of Computer Science Sports jobs? The most popular types of Computer Science Sports jobs are:
What states have the most Computer Science Sports jobs? States with the most job openings for Computer Science Sports jobs include:
What job categories do people searching Computer Science Sports jobs look for? The top searched job categories for Computer Science Sports jobs are:
Senior Backend Software Engineer - Apple Sports

Senior Backend Software Engineer - Apple Sports

Apple

New York, NY • On-site

Full-time

Posted 10 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Apple is where individual imaginations capture to build innovative products, services, and experiences that enrich lives worldwide. By encouraging a culture of collaboration and diversity, we strengthen each other's ideas, unlocking innovation that runs through everything we do. Join us, and you'll do more than be part of something - you'll add something. Apple Sports is looking for an expert Backend Engineer to help redefine how users experience sports through the Apple Sports app, Apple TV, and more. As part of the Sports team, you'll collaborate with world-class engineers to create reliable, scalable solutions for processing and displaying real-time sports data. This is an outstanding opportunity to shape the sports experience for millions of users worldwide.
Join our Sports Backend Infrastructure team and build the engine that powers real-time sports experiences for millions of fans! As a Senior Software Engineer, you will be responsible for designing, developing, and maintaining the highly available, real-time data services that ingest, process, and distribute sports data at massive scale. Your work will focus on building and optimizing high-throughput, low-latency distributed systems, ensuring exceptional performance, reliability, and scalability. You'll leverage industry-standard best practices for distributed architectures and collaborate with world-class engineers to deliver impactful features and execute on our technical roadmap. Additionally, you will have the opportunity to provide technical guidance and mentorship to junior engineers, fostering a culture of learning and growth.
5+ years of professional software engineering experience, building and deploying scalable, distributed systems in a production environmentStrong proficiency in Java, with demonstrated experience applying both Object-Oriented and Functional programming principlesSolid understanding of concurrency control mechanisms, fundamental data structures, and efficient algorithm designHands-on experience with with databases such as Cassandra and Redis, and stream processing platforms like KafkaProven ability to design and implement systems with a focus on scalability, fault tolerance, and high availabilityBachelor's degree in Computer Science, a related technical field, or equivalent practical experience
Experience building and optimizing real-time data pipelines, including data ingestion, transformation, and deliveryPractical experience with container orchestration using Kubernetes and building/maintaining CI/CD pipelinesFamiliarity with stream processing frameworks (e.g., Apache Flink, Apache Spark Streaming, Kafka Streams) and associated best practicesPassion for sports and the sports data ecosystemSelf-motivated with strong collaboration and communication skillsExperience working in a fast-paced, agile environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976