Data Scientist II (Soccer)

Owns and delivers complex measurement science and modeling work at the core of Samba's measurement and audience sciences products. Writes production-quality Python, builds and evaluates models on large-scale viewership and web data, and delivers end-to-end ML solutions while collaborating with Data Engineering, Product, and go-to-market teams.

This role leads product strategy for AI-driven sports data solutions, collaborating with engineering and data science teams. It requires deep understanding of AI/ML applications in sports analytics and the ability to translate market needs into product roadmaps.

Leads data science initiatives for ESPN's gaming portfolio, developing models to improve player engagement, monetization, and game balance. The role requires advanced machine learning expertise, large-scale data processing, and close collaboration with game design and product teams.

This data science role focuses on analyzing gaming and advertising data to generate insights that drive brand-gamer connections. The role involves building models and performing analytics to evaluate campaign performance and optimize advertising strategies.

This role is responsible for building the attribution and tracking foundation to provide a trusted picture of marketing's influence across the customer journey. The Senior Marketing Operations Manager will lead the shift from manual campaign and event work into automation, focusing on operational efficiency and data-driven decision-making. This position is critical for scaling marketing efforts and improving ROI measurement.

Owns architecture decisions and builds reusable components to consolidate Coaching & Player Personnel products onto a shared technical foundation. This full-stack role focuses on improving the technical infrastructure and code reuse across the CPP product suite.

This role tackles performance and scalability challenges in the AMS backend, a Java application with ~20 years of history, focusing on improving latency, throughput, and resource use. The Senior Backend Engineer will evolve a legacy data model, rework asynchronous processing, and strengthen observability to support larger workloads. This position requires 6+ years of backend experience, strong Java skills, and US citizenship.