CHICAGO CUBS The Chicago Cubs franchise

Data Scientist, Innovation - Baseball Analytics

Chicago, Illinois

Sponsorship not specified$80k-$150kDetected 34 days ago

PythonSpringSQLMachine LearningDeep LearningTensorFlowPyTorchData AnalysisData ScienceLLMsStatisticsA/B TestingResearchLeadership

About the role

GO BEYOND THE IVY Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events.
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.

Each brand stands as unique as the teams that drive them.
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.

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
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
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

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 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.
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.
Machine Learning & Advanced Modeling
Develop and evaluate machine learning and statistical models for player evaluation and performance analysis
Analytics Innovation

Equal Opportunity Employer committed to inclusion and employing a diverse workforce.

This listing is sourced directly from CHICAGO CUBS The Chicago Cubs franchise's careers page and normalized into a canonical job model.