Senior Operations Coordinator
Acosta
CloudPythonSQL
Senior Sports Data Scientist
The Walt Disney Company
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudPythonSQL
About the role
- Design and implement advanced machine learning models and statistical algorithms to predict player and team performance, including pre-game and in-game predictions
- Apply modern techniques including deep learning, Bayesian methods, ensemble models, and reinforcement learning to solve complex sports analytics problems
- Leverage AI technologies to enhance analytics capabilities and create innovative solutions for sports player and team evaluation
- Collaborate with engineering teams to deploy models at scale, ensuring robust performance in production environments
- Transform complex statistical findings into clear, actionable insights that enhance storytelling across all ESPN platforms
- Partner with product and content teams to identify high-impact opportunities for analytics integration
- Mentor junior data scientists and establish best practices for code quality, model validation, and documentation
- Present findings to senior leadership and external stakeholders, adapting communication style for technical and non-technical audiences
- Stay current with academic research and industry trends in sports analytics, machine learning, and data science
- Contribute to the team's technical strategy and help evaluate emerging technologies and methodologies
Requirements
- Minimum 5 years of experience in data science, machine learning, or quantitative analytics, with demonstrated expertise in sports analytics preferred
- Advanced proficiency in Python or R for statistical modeling and machine learning
- Expert-level SQL skills and experience with database systems
- Deep understanding of statistical methods including regression analysis, time series forecasting, Bayesian inference, and causal inference
- Proven track record of deploying machine learning models to production and monitoring their performance
- Experience with cloud platforms
- Experience with version control (Git) and software engineering best practices
- Strong communication skills with ability to explain complex technical concepts to diverse audiences
- Demonstrated passion for sports with working knowledge of major sports leagues, players, teams, and statistical trends
- Ability to work in a fast-paced environment with competing priorities and tight deadlines
- Full availability for this position, including occasional nights, weekends, and holidays during major sporting events
- Required Education: Bachelor's Degree in Statistics, Computer Science, Mathematics, Engineering, Economics, or related quantitative field, OR High School Diploma/Equivalent with Minimum 5 years of relevant data science experience demonstrating equivalent expertise
- Preferred Education: Advanced degree in Statistics, Machine Learning, Computer Science, Operations Research, or related quantitative field
