Baseball Performance Analytics Scientist

Gondola; San Diego (CA); On-site; USD 60,000 - 85,000; Full time

Benefits offered by this job

401K

PTO

Company benefits

Job summary

A professional sports club is seeking a Performance Science Analyst in San Diego, California. This full-time role involves analyzing performance data to enhance player health and performance outcomes. The ideal candidate will possess strong skills in data exploration and visualization, and a background in sports analytics or statistics. Responsibilities include designing procedures for data quality, creating visualizations, and performing analyses on various data streams. A post-graduate degree and experience with biomechanical datasets are preferred.

Qualifications

• Exceptional ability in data exploration, quality, treatment, and visualization.
• Experience with physical, physiological, and biomechanical datasets in a sport environment.
• Strong organizational skills and intellectual curiosity.

Responsibilities

• Design and manage procedures to safeguard the quality of performance data.
• Create and build upon current data visualizations and reporting structures.
• Perform routine and ad hoc analyses on various data streams.

Skills

Data exploration

Data visualization

Data programming (R, SQL, Python)

Research formulation

Education

Bachelor’s degree in sports analytics, statistics, or computer science

Post-graduate degree (preferred)

Tools

GitHub

Force platforms

Hawk-Eye

Job description

A professional sports club is seeking a Performance Science Analyst in San Diego, California. This full-time role involves analyzing performance data to enhance player health and performance outcomes. The ideal candidate will possess strong skills in data exploration and visualization, and a background in sports analytics or statistics. Responsibilities include designing procedures for data quality, creating visualizations, and performing analyses on various data streams. A post-graduate degree and experience with biomechanical datasets are preferred.