Job Description

Primary Purpose The Cleveland Guardians Baseball Research & Development (R&D) group is seeking to hire Data Scientists at a variety of experience levels, including senior, entry-level, and intern/fellow. In this role, you will work alongside the rest of the R&D group to transform a treasure trove of scientific data (e.g., box scores, bat/ball/player tracking, video, biomechanics) into an information pipeline that helps us acquire better players, improve those players, and equip our coaches and players to emerge victorious. Essential Duties & Responsibilities Data Scientists in our R&D group apply quantitative methods to make the Cleveland Guardians better on the field. Depending on your skills and interests, your work may include: Building statistical and/or machine learning models to guide player acquisitions, player development philosophy, and Major League decision-making. Developing models for the movements and forces governing human motion and its subsequent impact on bat/ball trajectories. Creating tools, prototypes, and visualizations that connect R&D insights to coaches, players, and baseball operations staff. Communicating complex ideas clearly to both technical and non-technical audiences, including executives, coaches, and players. Education & Experience Degree or demonstrated experience in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Biomechanics, or Engineering). Proficiency in programming languages such as Python or R for data analysis and modeling. Ability to clearly communicate complex ideas to others in both written and verbal form. Collaborative and able to succeed in a team-oriented environment. Commitment to continuous learning and solving challenging problems. Job Skills We are looking for a variety of skillsets. If you have experience with one or more of the following areas, you may be who we are looking for: Statistical Modeling Advanced statistical methods (e.g., fixed effects, random effects, generalized additive models). Bayesian statistics and probabilistic programming languages (e.g., Stan). Database languages such as SQL. Machine Learning and AI Large language models (LLMs). Deep learning frameworks (e.g., TensorFlow, Torch). High-dimensional and/or spatiotemporal data. Domain-Specific Expertise Research in a sports context (baseball is a plus). Biomechanics software such as OpenSim and Visual3D. Game theory applied in real-world contexts. The Cleveland Guardians, we are all about creating an environment that brings out the best in everyone. It is a big part of who we are, how we compete, and how we make an impact in our community. We want every employee to feel like they truly belong here. We also know that people sometimes hesitate to apply for jobs unless they check every single box on the qualifications list. We’re looking for the best person for the job, and we know that you might bring skills and experiences that aren’t exactly listed but could be a huge asset to our team. So, if this role excites you, we encourage you to apply, even if you don’t meet every single qualification. #J-18808-Ljbffr Cleveland Guardians

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