Job Description

I am partnered with a company who are currently looking to hire a experienced Data Scientist to join their Data Platform team and lead the development of advanced analytics solutions for identity resolution and predictive modeling in the sports and entertainment venue space.

You will build sophisticated probabilistic and deterministic matching algorithms to create unified fan profiles across millions of touchpoints while developing predictive models that enhance venue operations and fan experiences. In this role, you will design and implement machine learning models that power real-time decision-making for crowd management, personalized fan experiences, and revenue optimization. Working with massive datasets from ticketing systems, mobile apps, in-venue sensors, and third-party platforms, you'll deliver actionable insights that transform how venues understand and engage with their audiences.

Responsibilities
Design and implement identity resolution systems combining deterministic and probabilistic matching algorithms to unify fan profiles across multiple touchpoints Develop predictive models for fan behavior including attendance prediction, purchasing patterns, and personalization using advanced ML techniques
Build real-time scoring engines for dynamic pricing, targeted marketing, and operational optimization
Create anomaly detection systems for crowd management and security using streaming venue sensor data
Implement feature engineering pipelines processing billions of events from ticketing, POS, mobile apps, and IoT devices
Design experimentation frameworks including A/B testing and causal inference to measure impact of venue initiatives

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