Data Scientist - Technology Solutions
Core
Develop machine learning models for custom sports event solutions, supporting broadcast, digital, and fan-facing products via B2C/B2B applications and APIs.
Role type
Data Scientist (Machine Learning & Statistics)
Builds
Custom-built solutions for sports events and properties
Domain
Sports analytics, B2C/B2B digital products
Deliverable
production ML models
Required skills
Machine learning, statistical techniques, probabilistic modeling, Python, SQL, feature engineering, model validation
Preferred skills
Bayesian inference, data pipeline ownership, Monte Carlo simulation, AI-assisted coding tools
Technologies
Python, SQL, AWS (Lambda, EventBridge, DynamoDB)
Responsibilities
Develop, train, and evaluate models using statistical and machine learning techniques; Query, clean, and explore datasets to surface patterns; Build and maintain data pipelines for ingesting sports data; Provide go-live support for event-specific solutions; Apply version control, testing, and documentation practices
Seniority
Mid-level, hands-on IC
