Position Details
About this role
This role involves developing and automating sports data metrics, building predictive models, and contributing to ESPN's storytelling tools through advanced analytics and data engineering.
Key Responsibilities
- Build data pipelines
- Develop predictive models
- Automate data metrics
- Collaborate with analytics team
- Enhance data storytelling
Technical Overview
The technical environment includes Python, SQL, AI/ML tooling, data pipelines, and statistical modeling for sports analytics.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 3 years of experience in sports analytics, skilled in data wrangling, modeling, and visualization, with strong collaboration and storytelling abilities.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 3 years experience, Lack of sports analytics background, No experience with data pipelines or modeling
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