Data Scientist
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.
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.
Ideate and develop machine learning and statistical models to drive core algorithms for sports betting products. Collaborate with data engineering and product teams to deploy models and improve performance through rigorous experimentation.
Manage client risk and ensure high margins through positive expected value decisions and depth chart accuracy. Research news sources and analyze betting trends to execute quantifiable trading actions.
The Director of Project Management will build and lead the PMO to establish the operational backbone for coordinated delivery across the company. This includes owning cross-functional programs across Trading, Engineering, and Data Science while evolving the frameworks for planning, prioritization, and release cadence.
Establish and lead the company's PMO to build an operational backbone for coordinated delivery across technical departments. Own the frameworks for planning, prioritization, and tracking to ensure predictable execution of cross-functional programs.
Monitor live sports markets and refine pricing models using statistical analysis and market signals. Manage real-time trading risk and collaborate with engineering teams to improve pricing infrastructure and execution tools.