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Baseball Analytics Jobs in Chicago, IL (NOW HIRING)

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Baseball Analytics information

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How much do baseball analytics jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for baseball analytics in Chicago, IL is $20.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $20.82 per hour, depending on experience, location, and employer.

Is there a career in baseball analytics?

Yes, baseball analytics is a growing field with roles such as data analysts, statisticians, and sabermetricians working for teams, media, and consulting firms. These positions typically require strong skills in statistics, programming, and knowledge of baseball, often supported by a background in data science or related fields.

What are the key skills and qualifications needed to thrive in baseball analytics, and why are they important?

To thrive in Baseball Analytics, you need a strong background in statistics, data analysis, and baseball knowledge, usually supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages like R or Python, experience using databases such as SQL, and knowledge of data visualization tools are typically required. Strong attention to detail, problem-solving skills, and effective communication help analysts convey complex insights to coaches and management. These skills are crucial for transforming data into actionable strategies that drive team performance and competitive advantage.

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

AspectBaseball AnalyticsBaseball Data Analyst
Required CredentialsDegree in statistics, data science, or related field; knowledge of baseball metricsSimilar credentials; strong analytical and baseball knowledge
Work EnvironmentSports teams, analytics firms, or media companiesSports organizations, analytics firms, or media outlets
Industry UsageUsed for strategic decision-making, player evaluation, and game analysisFocuses on data collection, processing, and reporting for baseball insights

Baseball Analytics and Baseball Data Analyst roles overlap significantly, with both requiring strong analytical skills and baseball knowledge. However, Baseball Analytics often involves developing models and strategic insights, while Baseball Data Analysts focus more on data collection and reporting. Both roles are essential in the baseball industry for improving team performance and fan engagement.

How does a baseball analytics professional typically collaborate with coaches and players to implement data-driven strategies?

Baseball Analytics professionals work closely with coaches and players to translate complex statistical insights into actionable strategies on the field. This collaboration often involves presenting data through visualizations or reports, attending team meetings to explain findings, and offering recommendations for player development, game tactics, or opponent analysis. The role requires strong communication skills to bridge the gap between technical data and practical application, ensuring that analytics are both understandable and relevant to the coaching staff and athletes. Building trust and maintaining open dialogue with the team are key to successfully integrating analytics into daily routines.

What is baseball analytics?

Baseball analytics is the use of data analysis, statistical methods, and advanced metrics to evaluate player performance, team strategies, and game outcomes in baseball. It involves collecting and interpreting data such as player statistics, pitch tracking, and fielding information to make informed decisions. Teams use analytics to gain a competitive edge by optimizing lineups, defensive positioning, and player acquisitions. This field has grown significantly with the advent of technology and large datasets, leading to new insights and strategies in the sport.

How to get a baseball analytics job?

To get a baseball analytics job, candidates typically need a strong background in statistics, data analysis, or related fields, often demonstrated through a degree in mathematics, statistics, or computer science. Proficiency in tools like R, Python, or SQL is essential, along with experience analyzing sports data and understanding baseball strategies. Gaining experience through internships, networking within the sports industry, and building a portfolio of projects can improve chances of securing such roles.

What does a baseball analytics do?

A baseball analyst uses statistical methods and data analysis to evaluate player performance, team strategies, and game outcomes. They often work with tools like spreadsheets and specialized software to identify trends and inform decision-making in team management and player development.
What are the most commonly searched types of Baseball Analytics jobs in Chicago, IL? The most popular types of Baseball Analytics jobs in Chicago, IL are:
What are popular job titles related to Baseball Analytics jobs in Chicago, IL? For Baseball Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Baseball Analytics jobs in Chicago, IL look for? The top searched job categories for Baseball Analytics jobs in Chicago, IL are:
Baseball Analytics jobs near you
Infographic showing various Baseball Analytics job openings in Chicago, IL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,349 per year, or $20.4 per hour.

Data Scientist, Innovation - Baseball Analytics

The Chicago Cubs

Chicago, IL • On-site

$80K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

GO BEYOND THE IVY
Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events.
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.
JOB TITLE: Data Scientist, Innovation - Baseball Analytics
DEPARTMENT: R&D Baseball Operations
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant Director, Baseball Analytics
LOCATION: Chicago, IL
FLSA STATUS: Exempt
COMPENSATION: $80,000 - $150,000 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 a Data Scientist, Innovation within Baseball Analytics focused on advancing analytics, modeling, and applied research across Baseball Operations. This role will focus on developing cutting-edge machine learning models, exploring novel analytical approaches, and translating complex baseball data into actionable insights.
This position emphasizes innovation in modeling, experimentation, and analytical rigor. The ideal candidate thrives in research-driven environments, pushing the boundaries of predictive modeling, simulation, and multimodal data analysis to improve player evaluation, player development, and performance analysis.
THE DAY-TO-DAY:
Machine Learning & Advanced Modeling
  • Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
  • Design and implement time-series, probabilistic, and simulation-based models
  • Apply modern deep learning techniques (e.g., attention models, multimodal learning)
  • Explore and apply generative modeling approaches beyond LLMs

Analytics Innovation
  • Conduct research into new modeling techniques and analytical frameworks
  • Prototype and experiment with novel approaches to improve predictive performance
  • Translate complex datasets (tracking, video, sensor data) into structured insights

Research & Thought Leadership
  • Stay current with advancements in AI, machine learning, and sports analytics
  • Serve as a subject matter expert on modeling approaches and statistical methods
  • Partner with stakeholders to identify high-impact analytical opportunities

WHAT YOU'LL BRING:
  • Strong experience with machine learning frameworks (PyTorch, TensorFlow, etc.)
  • Deep understanding of statistical modeling and data science workflows
  • Experience working with complex and high-dimensional datasets
  • Proficiency in Python, SQL, and version control

WHAT SETS YOU APART:
  • 5+ years in machine learning, data science, or applied research
  • Experience with multimodal data (video, tracking, sensor data)
  • Background in sports analytics, preferably baseball
  • Experience with simulation or probabilistic modeling frameworks

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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