Base: $155,700 - $228,600; bonus/equity: may be pr...
Lead technical direction
Drive personalization insights
Architect advanced experimentation
The Lead Data Scientist is a senior technical leader responsible for driving innovation in personalization, experimentation, and large-scale data insight generation across ESPN’s streaming products
Job Summary
The Lead Data Scientist is a senior technical leader responsible for driving innovation in personalization, experimentation, and large-scale data insight generation across ESPN’s streaming products.
Responsibilities include leading technical direction, driving personalization insights, architecting advanced experimentation, developing scalable data insight products, and owning end-to-end delivery of complex data science initiatives.
The role blends deep statistical expertise, strong technical execution, and exceptional communication skills to influence product strategy and guide a growing team of data scientists.
Matching Summary
The Lead Data Scientist is a senior technical leader responsible for driving innovation in personalization, experimentation, and large-scale data insight generation across ESPN’s streaming products.
Salary
Base: $155,700 - $228,600; Bonus/Equity: May be provided; Benefits: Full range of medical, financial, and other benefits
Skills & Requirements
Must-have
Lead technical direction
Drive personalization insights
Architect advanced experimentation
Develop scalable data insight products
Lead cross-functional projects
Python, SQL, ML/statistics libraries
Large-scale datasets, distributed computing
Nice-to-have
Elevate data quality and standards
Champion automation and AI-assisted workflows
Familiarity with streaming tech ecosystems
Crafting data stories for stakeholders
Key Requirements
7+ years of experience in Data Science, Machine Learning, Statistics
Bachelors degree or equivalent industry experience
Proven track record of delivering high-quality experimentation analyses
Deep expertise in statistical testing, causal inference, experiment design
Experience with large-scale datasets and distributed computing
Demonstrated success with dashboarding tools
Experience applying automation and AI-driven tools