Jobs search

Senior Sports Data Scientist

1223 ESPN Productions, Inc • Full-time • USA - CT - ESPN Building 04, United States of America • 2m ago

Job Posting Title:

Req ID:

10128384

Job Description:

The Senior Sports Data Scientist will serve as a technical leader in designing and implementing advanced predictive models and metrics that power ESPN's analytics products and storytelling. This role combines cutting-edge data science with sports domain expertise to create innovative solutions that enhance storytelling across television, digital, and emerging platforms. The ideal candidate will architect complex statistical models, leverage machine learning techniques to uncover new insights, and translate sophisticated analyses into compelling narratives that resonate with diverse audiences. This position blends hands-on technical excellence with leadership responsibilities, requiring someone who can deliver sophisticated analyses while managing projects, mentoring junior team members, and partnering with engineering, product, and content teams.

Responsibilities:

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

Qualifications:

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

Additional Information:

Schedule Flexibility: This role requires flexibility to work outside standard business hours ahead of and during major sporting events, playoffs, and breaking news situations. Occasional weekend and holiday work will be necessary to support live productions and time-sensitive analytics.

#ESPNMedia

Job Posting Segment:

ESPN Digital, Social & Streaming Content

Job Posting Primary Business:

Stats & Information Group

Primary Job Posting Category:

Tech Data Analytics

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Bristol, CT, USA

Alternate City, State, Region, Postal Code: