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Data Science Sports Jobs (NOW HIRING)

The Apple Media Products Data Science & Analytics organization is passionate about developing ... Passion for film, television, and/or Sports domains.Hands-on experience with app-based engagement ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ ...

New York City, Los Angeles, San Francisco Overview We are seeking a Senior Data Scientist / Machine ... Paramount+, digital subscription video-on-demand and live streaming service, combines live sports ...

New York City, Los Angeles, San Francisco Overview We are seeking a Senior Data Scientist / Machine ... Paramount+, digital subscription video-on-demand and live streaming service, combines live sports ...

Senior Data Scientist

Burbank, CA · On-site

$130K - $195K/yr

You will build the foundations of our ML platform that will enable the Data Science team to deploy ... Paramount+, digital subscription video-on-demand and live streaming service, combines live sports ...

Brooklyn Sports & Entertainment creates bold, authentic, and unforgettable experiences that ... This isn't a role for maintaining what exists; it's for someone who sees what data science should ...

Free use of our on-site fitness center, gym sports, group exercise classes, and game room * Onsite ... Maintain engagement with the data science community and current industry developments to assist in ...

The Apple Media Products Data Science & Analytics organization is passionate about developing ... Work closely with TV+ and Sports leads to advise their roadmap and content strategy. Preferred ...

D. in computer science, statistics, applied mathematics, data science, or similar technical fields. * Experience with our products and an understanding of endurance sports. * Experience implementing ...

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Data Science Sports information

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$22.5K

$106.5K

$204K

How much do data science sports jobs pay per year?

As of Jun 17, 2026, the average yearly pay for data science sports in the United States is $106,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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

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.

What is a Data Science Sports job?

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 are the typical day-to-day responsibilities of a Data Science Sports professional?

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.

More about Data Science Sports jobs
What cities are hiring for Data Science Sports jobs? Cities with the most Data Science Sports job openings:
What are the most commonly searched types of Data Science Sports jobs? The most popular types of Data Science Sports jobs are:
What states have the most Data Science Sports jobs? States with the most job openings for Data Science Sports jobs include:
Infographic showing various Data Science Sports job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $106,514 per year, or $51.2 per hour.
Video Content Data Scientist

Video Content Data Scientist

Apple

Culver City, CA • On-site

Full-time

Posted 5 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

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Apple Media Products Data Science & Analytics organization is passionate about developing discerning insights and machine learning solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
Our team is looking for a data scientist to help support the Video business teams (including TV+) with insights on content performance, strategy, and customer experience in the TV app. As a key member of our diverse and multifaceted organization, we have the rare and exciting opportunity to work with datasets of unique magnitude, richness, and dedication to customer privacy that will frequently require innovative approaches. We work collaboratively with partners across Business, Marketing, Product and Engineering daily to deliver material customer and business value.
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing programming languages like Python and SQL.4 years experience employing statistical methods to tackle business problems related to classification, segmentation, and forecasting.Demonstrated ability to apply data science techniques to find answers to ambiguous real-world questions in a changing environment and communicate them to stakeholders.Comfort working cross-functionally across multiple teams, including both technical and non-technical partners.Strong interpersonal and communication skills.
Experience in media or entertainment industry.Passion for film, television, and/or Sports domains.Hands-on experience with app-based engagement and clickstream data.Experience with distributed computing frameworks like Spark.

What Apple employees say

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Benefits

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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