Investigate production incidents and system behavior using raw data to determine root causes and recommend resolutions. Build and maintain system health metrics while contributing to core frameworks and tooling to improve investigation efficiency.
Manage client risk and ensure high margins on products through +EV decisions. Oversee depth chart accuracy and analyze betting trends to turn data into actionable trading strategies.
Manage client risk and oversee depth chart accuracy to ensure high margins on sports betting products. Trade live in-play markets in real-time while analyzing betting trends to inform quantifiable trading actions.
You will serve as a primary point of contact for B2B clients, managing inquiries and ensuring successful product adoption. Additionally, you will collaborate with internal teams like Engineering and Data Science to troubleshoot issues and improve client satisfaction.
Develop infrastructure for trader automation and high-performance systems to optimize simulation outputs. Analyze live-streaming data to build, test, and deploy production-grade machine learning models.
Manage client risk and ensure high margins through +EV decisions while overseeing depth chart accuracy. Independently analyze betting trends and research verified news sources to inform quantifiable trading actions.
The Data Engineer will architect low-latency, real-time analytics systems and build new sports betting data products. They will also support production systems, triage issues during live sporting events, and integrate complex datasets into enterprise-grade APIs.
Architect and build low-latency, real-time analytics systems and sports betting data products. Support production systems and develop enterprise-grade APIs for predictive analytics delivery.
