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Data Science Sports Jobs (NOW HIRING)

The scope of data collected will comprehensively include all sport science and medical data in addition to data from auxiliary departments that are relevant to painting a clear holistic player ...

OC Sports & Entertainment is dedicated to enhancing community experiences through live entertainment and sports in Orange County. The Data Scientist will own the full analytical lifecycle, driving ...

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+ ...

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... You'll be part of an embedded science team on projects that are fast-paced, challenging, and ...

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 ...

Senior Data Scientist

San Mateo, CA · On-site

$170K - $210K/yr

Work on data science projects across marketing and customer domains, including personalization ... Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and ...

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Data Science Sports information

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts to evaluate player performance, develop strategies, and improve decision-making using statistical tools and data analysis techniques. These roles typically require skills in data management, programming, and sports analytics software. Data analysts in sports may work closely with coaches and scouts to provide insights that enhance team performance.

How much does a sports data scientist make?

A sports data scientist typically earns between $60,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those in major sports organizations can offer higher salaries, often exceeding $150,000. Skills in data analysis, machine learning, and familiarity with sports analytics tools are important for this role.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. They often work with statistical analysis, machine learning tools, and sports data platforms in a fast-paced environment.

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.

Do data scientists work in sports?

Data scientists in sports analyze large datasets related to player performance, game strategies, and fan engagement to inform decision-making. They often use tools like Python, R, and SQL, and work with sports teams, leagues, or sports analytics companies to improve outcomes and optimize operations.
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 July 2026, with employment types broken down into 6% Internship, 66% Full Time, and 28% Part Time. Highlights an 100% In-person job distribution.

Full-time

Re-posted 17 days ago


Job description

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

  • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 
  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

The research/AI team is the dedicated AI/ML and data science arm of the Ad Platform organization. Its mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science solutions that enhance ad decisioning, forecasting, experimentation and ad experience. We are seeking a Lead Data Scientist to join this innovative team. This role is a critical leadership opportunity for a seasoned data science professional who thrives at the intersection of advanced analytics, machine learning, and business strategy.

As a Lead Data Scientist, you will spearhead ML and data science initiatives that shape the future of advertising technology. You will support generative AI production development through rigorous evaluation and data generation pipelines. You will be responsible for designing and executing ML and data science solutions that drive measurable impact across ad decisioning, forecasting, experimentation, and user experience optimization, as well leading evaluation and optimization of generative AI mixed media advertisement creation and enhancement technologies.

WHAT YOU’LL DO

  • Drive innovation and apply data science and statistical analysis in a variety of areas to enhance every aspect of advertising serving, including inventory forecasting, ad experience, ad pacing, pricing, targeting, advertising creation and enhancement, and efficient ad delivery.
  • Translate business questions into data science framework; develop data analysis and data models for complex ad challenges with fast turnaround.
  • Develop rigorous evaluation pipelines for generative AI technologies, including visual generations (image, video) and/or LLM-based agentic generations.
  • Define and evaluate key metrics in various product areas.
  • Partner closely with generative AI specialists to support the creation of datasets for generative AI modeling applications.
  • Develop Standard Operating Procedures for human-driven evaluations or labeling.
  • Deliver data insights and provide data-driven recommendations to cross-team stakeholders.
  • Design and analyze A/B tests for machine learning algorithm iterations.
  • Establish strong partnership with stakeholders, including product managers, engineers and program managers, in a collaborative environment.
  • Mentor team members and support their technical growth.

WHAT TO BRING

  • Bachelor's in computer science, statistics or equivalent experience
  • At least 7 years of relevant industry experience in data science at leading internet or creative technology companies. Experience in the advertising domain is a strong bonus. 
  • Experience creating ML datasets and rigorous dataset labeling or evaluation processes for models.
  • Strong interest to learn about generative mixed media, generative video, and diffusion-based technology.
  • Solid knowledge of data science and statistics. Strong communication skills and business acumen.
  • Proficient in SQL, Python, Java, or R. Familiar with Tableau, and/or other visualization tools.
  • Experience designing and building machine learning models. 
  • Passionate about understanding the ad business, applying data science to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
  • Interested in supporting rapid prototyping, generative AI, and creative technologies, including applications to advertisement creation and enhancement.
  • Experienced building data-driven services and applications for production.
  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

NICE-TO-HAVES

  • MS or PhD in computer science, statistics or equivalent experience
  • Experience in digital video advertising or digital marketing domain
  • Experience in production-grade development, rapid prototyping, or generative AI related research using LLMs, generative imagery or video, or agentic flows.  Otherwise a strong interest to learn.
  • Experience with Airflow, data warehouse, Databricks or Sagemaker.

#DISNEYTECH


The hiring range for this position in Los Angeles, CA area is $155,700 - $208,700 per year and Seattle Area is $163,100 - $218,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.