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Baseball Data Science Jobs (NOW HIRING)

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Bachelor's Degree in Computer Science, Data Science or similar major * Minimum of 1 year of experience in football data analysis * Deep knowledge of football, basketball or baseball; including roster ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

The Baltimore Orioles are seeking a Data Scientist Fellow to create and analyze baseball datasets using advanced statistical techniques. This role involves building predictive models and player ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

$20/hr

Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible ... Science, or equivalent. * Experience with SQL. * Experience with R or Python and pragmatic ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

The Baltimore Orioles are seeking a Data Scientist Fellow to create and analyze baseball datasets using advanced statistical techniques. This role involves building predictive models and player ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD · On-site +1

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-art prediction models * Use excellent data science ...

Ex Parte, Inc

Senior Data Scientist

Bethesda, MD

... League Baseball. * Drive technical roadmap to extend risk monitoring across identified threat surfaces. * Develop/experiment/ship state-of-the-artprediction models * Use excellent data science ...

Baltimore Orioles

Data Scientist Fellow

Baltimore, MD · On-site

$20/hr

Baseball Analytics Job Type: Part-time, seasonal, hourly Job Summary This position is responsible ... Science, or equivalent. * Experience with SQL. * Experience with R or Python and pragmatic ...

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Baseball Data Science information

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$41.5K

$142.5K

$201K

How much do baseball data science jobs pay per year?

As of Jul 14, 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.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team statistics. These professionals often use tools like R, Python, and SQL, and may work closely with sports analysts and coaches to inform decision-making.

How much do baseball data scientists make?

Baseball data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of the organization. Senior roles or those in major league organizations can earn higher salaries, often exceeding $150,000. Skills in statistics, programming, and sports analytics tools are important for this role.

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 July 2026, with employment types broken down into 60% Full Time, 32% Part Time, 6% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.
AI Workflow Scientist (Baseball Operations - R&D)

AI Workflow Scientist (Baseball Operations - R&D)

The Chicago Cubs

Chicago, IL • On-site

$100K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

GO BEYOND THE IVY
Chicago Cubs | Marquee 360 | Marquee Development | Marquee Ventures
Each brand stands as unique as the teams that drive them. We welcome you to learn more about us.
Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events. In support of that effort, we expect associates to work primarily in our office, while also enabling some flexibility.
JOB TITLE: AI Workflow Scientist, R&D
DEPARTMENT: R&D Baseball Operations
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant General Manager
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: $100,000 - $160,000 USD
BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?
OUR STORY
THE CHICAGO CUBS FRANCHISE, a charter member of Major League Baseball's National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.
HOW YOU'LL CONTRIBUTE
The Chicago Cubs are seeking an AI Workflow Scientist to design, develop, and scale AI-integrated data science workflows across Baseball Operations. This role focuses on embedding AI directly into Baseball Operations' processes, decision pipelines, and day-to-day workflows.
This position emphasizes building intuitive, high-impact workflows that connect people, data, models, and decision-making. The ideal candidate combines strong data science instincts with a product-oriented mindset, enabling Baseball Operations to leverage AI effectively in applied baseball contexts.
THE DAY-TO-DAY:
Build AI Systems That Improve How Baseball Operations Works:
  • Identify high-value opportunities where AI can improve internal workflows, staff productivity, speed, and decision quality across Baseball Operations
  • Design and build practical AI-enabled tools, automations, and workflow systems that support day-to-day operational work
  • Turn promising ideas and one-off experiments into scalable, reusable capabilities that can be deployed across teams

Create the Foundations for Scalable AI Adoption
  • Build and maintain the integrations, context pipelines, retrieval systems, and workflow architecture needed for AI tools to be useful in real work
  • Connect AI capabilities to internal tools, data, documentation, and decision processes in secure, reliable, and permission-aware ways
  • Create agentic workflows that tie together other tools such as GitHub, Python, SQL, etc.
  • Establish practical standards, best practices, and reusable patterns that make AI solutions easier to trust, maintain, and scale

Partner Across Baseball Operations to Drive Use and Impact
  • Work closely with R&D and other stakeholders to translate operational needs, hypotheses, research, discoveries, analytical outputs, and insights into accessible knowledge tools
  • Help staff adopt AI effectively by shaping use cases, refining workflows, and improving usability based on feedback and observed friction points
  • Continuously evaluate where AI is creating value, where it is falling short, and where new workflow investments can have the greatest impact

WHAT YOU'LL BRING:
  • Experience building internal tools, workflow systems, or AI-enabled applications
  • Strong engineering ability in addition to data fluency
  • Experience with APIs, system integrations, and productionizing applied AI workflows
  • Comfort translating ambiguous operational needs into usable technical solutions
  • Ability to work cross-functionally and drive adoption, not just build prototypes

WHAT SETS YOU APART:
  • 5+ years in data science, analytics, engineering, or applied AI roles
  • Experience building reusable AI platforms, workflow tooling, or knowledge systems
  • Experience driving adoption of internal tools across non-technical and technical users
  • Strong product and architecture instincts
  • Ability to move from prototype to scalable internal capability
  • Baseball familiarity as context, but not the main qualification

TOTAL REWARDS:
  • On-site parking
  • Transit benefits
  • Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
  • Flexible work arrangement
  • Casual work attire environment
  • Complimentary Meal & beverage plan
  • Cubs home game & spring training game ticket allotment
  • Access to campus wide Wrigley Field events & pre-sales
  • 401K Plan Employee Contribution & Employer Match
  • Benefit Plans: Medical, Dental, Vision & Life Insurance
  • Health & Wellness engagement & programming
  • Variety of associate special events, volunteer opportunities and partnership discounts
  • Tuition Reimbursement
  • Free access to EV charging stations

This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate's skills and experience.
The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.
Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.
The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

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