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Baseball Data Science Jobs (NOW HIRING)

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

... baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports ... Work closely with cross functional team to align data science initiatives with business priorities

Swish Analytics

Rust Engineer

San Francisco, CA · On-site

$170K/yr

Exposure to the data science process and tech stack * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies ...

Swish Analytics

Rust Engineer

San Francisco, CA · On-site +1

$170K/yr

Exposure to the data science process and tech stack * Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies ...

royals

Performance Science Analyst

Surprise, AZ

Create and build upon current data visualizations and reporting structures to help coaches/staff to ... Familiarity with performance technology and baseball-specific tools preferred (force platforms ...

royals

Performance Science Analyst

Surprise, AZ

Create and build upon current data visualizations and reporting structures to help coaches/staff to ... Familiarity with performance technology and baseball-specific tools preferred (force platforms ...

Baltimore Orioles

Biomechanist

Sarasota, FL · On-site

... data * Wants to work in a baseball setting * Ability and willingness to work extended hours/holidays as needed Preferred: * Certified Performance and Sports Scientist (CPSS) through the National ...

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Baseball Data Science information

See salary details

$41.5K

$142.5K

$201K

How much do baseball data science jobs pay per year?

As of Jun 19, 2026, the average yearly pay for baseball data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

How do baseball data scientists typically collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or computer science, often with a bachelor's degree in a related field. Proficiency in programming languages such as Python or R, experience with sports data, and knowledge of baseball metrics are important. Gaining experience through internships or projects and understanding baseball analytics tools like Statcast or TrackMan can improve job prospects.

How is data science used in baseball?

In baseball data science involves analyzing player and game data to improve team strategies, player performance, and scouting. Data scientists use statistical models, machine learning, and visualization tools to identify patterns and make data-driven decisions that enhance team success.

How much do MLB statisticians make?

MLB statisticians typically earn between $50,000 and $100,000 annually, depending on experience, role, and team size. Many work as part-time consultants or analysts, often utilizing data analysis tools and statistical software to support team strategies and player evaluations.

How much do MLB data scientists make?

MLB data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether they have specialized skills in statistics, programming, or sports analytics tools.

What are the key skills and qualifications needed to thrive as a Baseball Data Scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.
More about Baseball Data Science jobs
What cities are hiring for Baseball Data Science jobs? Cities with the most Baseball Data Science job openings:
What are the most commonly searched types of Baseball Data Science jobs? The most popular types of Baseball Data Science jobs are:
What states have the most Baseball Data Science jobs? States with the most job openings for Baseball Data Science jobs include:
What job categories do people searching Baseball Data Science jobs look for? The top searched job categories for Baseball Data Science jobs are:
Baseball Data Science jobs near you
Infographic showing various Baseball Data Science job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

AI - Data Engineer

Creative Arts Agency (CAA)

Nashville, TN • On-site

$129K - $150K/yr

Full-time

Posted 9 days ago

Job description

Job Description

Who We Are

Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise in filmed and live entertainment, digital media, publishing, sponsorship sales and endorsements, media finance, consumer investing, fashion, trademark licensing, and philanthropy. Distinguished by its culture of collaboration and exceptional client service, CAA's diverse workforce identifies, innovates, and amplifies opportunities for the people and organizations that shape culture and inspire the world. The trailblazer of the agency business, CAA was the first to build a sports business, create an investment bank, launch a venture fund, found technology start-up companies, establish a philanthropic arm, build a business in China, and form a brand marketing services division, among other innovations. Named Most Valuable Sports Agency by Forbes for eight consecutive years, CAA represents more than 2,000 of the world's top athletes in football, baseball, basketball, hockey, soccer, in addition to coaches, on-air broadcasters, and sports personalities and works in the areas of broadcast rights, corporate marketing initiatives, social impact, and sports properties for sales and sponsorship opportunities. Founded in 1975, CAA is headquartered in Los Angeles, and has offices in New York, Nashville, Memphis, Chicago, Miami, London, Munich, Geneva, Stockholm, Shanghai, and Beijing, among other locations globally.


The Role

TheAIEngineeris a member of a highlymotivated CAATechteam responsible for accelerating the creation of opportunity through the strategic use of data.In this role, you will design and build intelligent systems that transform complexinformationinto structured knowledge and actionable insights using modern AI, machine learning, and generativeapproachesto solve complex business problems.You willoperateacross the full lifecycle,from experimentation and evaluation to deployment andoptimization,developingsolutionsthat ingest, interpret, and reason over large volumes ofdata. The ideal candidate combines strong software engineering fundamentals with handson experience building applied AI systems that operate reliably in production environments and deliver measurable business impact.

Responsibilities

Development ofAISolutions

  • Design and implement endtoend AI workflows forcomplex data interpretation, knowledge extraction, and reasoning

  • Build systems that convert unstructured content into structured representations

  • Develop and optimize retrieval approaches that combine semantic and lexical search techniques

  • Prototype, evaluateapproaches,test feasibility,and productionize generative AI solutions for realworld use cases

  • Partner with engineering teams to develop technology infrastructure

  • Optimize systems for latency, cost, and throughput

Evaluation, Reliability, and Quality

  • Design and implement evaluation approaches to assess performance, relevance, and effectiveness of AI solutions

  • Apply techniques to improve consistency, accuracy, and trustworthiness of outputs

  • Implement methods for scoring, explainability, and ongoing quality assurance

  • Monitor deployedsolutionsand data pipelines for performance, stability, and data quality over time

Data Wrangling:

  • Identify data sources that can be useful to answer business questions

  • Perform experiments on ingested data to evaluate quality and integrity

  • Build data pipelines for ongoing data extraction

Collaboration and Communication

  • Work closely with crossfunctional team to align data science initiatives with business priorities

  • Partner with leadership to identify and prioritize highimpact opportunities for data science applications

  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Qualifications

  • Minium of6years buildingAI, MachineLearningandNLP solutions

  • Minimum 3 years building applied AI/LLM andgenerative systemsin production environments

  • Bachelor's degree in a relevant field such Mathematics, Science, Engineering, or Computer Science.Master's Degree in relevant discipline preferred

  • Strong programming skills in Python and experience building data and AI pipelines

  • Experience with information retrieval, semantic search, or knowledgedriven systems

  • Experiencewithrelational,nonrelational and semantic data stores

  • Strong software engineering fundamentals (APIs, system design, testing, version control)

  • Experience with Natural Language Processing methods and applications preferred

  • Excellent analytical and problemsolving skills

  • Demonstrated initiative and ownership of tasks and projects

  • Ability to prioritize, coordinate, and complete tasks to meet deadlines

  • Ability to work effectively both independently and in team environments

  • Ability to present complex problems in simple terms

Location
This role is hybrid, based in our Nashville office.

Compensation

The annual base salary for this position is in the range of $129,000 - $150,000 in Nashville. This position is also eligible for benefits and a discretionary bonus. Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in the role, business sector, and geographic location, among other criteria. Please talk with a CAA Recruiter to learn more.

Creative Artists Agency, LLC (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate on the basis of race (inclusive of traits historically associated with race, including hair texture and protective hairstyles), color, religion, creed, gender or sex (including pregnancy, childbirth, breastfeeding or related medical conditions), national origin, ancestry, age, physical disability, mental disability, medical condition, genetic information, family and medical care leave status, military or veteran status, marital status, family status, sexual orientation, gender identity, gender expression, political affiliation, an employee's or their dependent's reproductive health decision making (e.g., the decision to use or access a particular drug, device or medical service), or any other characteristic protected by applicable law.The absence of a permanent address is not a bar to employment. The Company does not discriminate against individuals based on housing status, including the absence of a fixed address.The Company also complies with the Americans with Disabilities Act and applicable state and local laws with regard to providing reasonable accommodation for qualified individuals with disabilities.CAA does not accept unsolicited resumes from third-party recruiters unless they were contractually engaged by CAA to provide candidates for a specified opening. Any such employment agency, person or entity that submits an unsolicited resume does so with the acknowledgement and agreement that CAA will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

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