Sports Data Engineer

Espn, Inc

Espn, Inc is at the forefront of sports analytics, offering a multidisciplinary team that combines sports knowledge with advanced data analysis skills. The Sports Data Engineer will be essential in advancing the team's metrics by collaborating internally and with external partners. This role is vital for enhancing ESPN's storytelling capabilities through data-driven insights.

In this role you can expect to have the responsibilities:

• Develop data requirements for new metrics and establish technical methods for execution.
• Write optimized code to automate metrics for ESPN platforms.
• Translate complex formulas into understandable language for storytelling.
• Engage with external partners on metric dissemination.
• Identify trends and react to sports news using analytics tools.
• Stay informed about sports statistical analysis research.

This role comes with the following benefits:

• Working at the cutting edge of sports statistical analysis.

This role requires you to have:

• A minimum of 3 years' experience in sports analytics or a related bachelor's degree.
• Experience with predictive modeling, machine learning, and data analysis techniques.
• Proficient in programming languages such as R, Python, and SQL.
• AWS Cloud management experience.
• Full availability, including nights, weekends, and holidays.
• Strong sports knowledge.

You would benefit from having:

• Degree in statistics, engineering, or advanced mathematics.
• Experience with R programming language.
• Database development and SQL coding experience.
• Knowledge of sports betting.
• Experience in production-quality code and collaborative development.
• Experience in digital or television sports production.

The role requires a strong knowledge of sports analytics and the ability to ensure the accuracy of content. Candidates should have both historical and current sports knowledge.