Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

The Soccer Data Scientist will develop and enhance machine learning models for sports betting products, collaborating with engineering teams and improving model performance.

As a Machine Learning Engineer, you'll design and implement predictive analytics systems, optimize modeling processes, and maintain production systems while collaborating with teams.

The NHL Data Scientist will develop and enhance machine learning models for sports betting, analyze model performance, and collaborate with engineering teams.

Develop and improve machine learning models for sports betting products, analyze model performance, and support deployment with data engineering teams.

Develop and maintain Kubernetes clusters, scale workloads, optimize infrastructure, ensure best practices, and respond to system incidents while collaborating with Data Science teams.

The role involves designing and building real-time trading systems for sports betting, focusing on execution and risk management across multiple venues.

The Product Engineer will enhance current models, develop scalable sports betting products, and improve the codebase while adhering to best practices.

As a Data Analyst, you'll develop and manage dashboards in Superset, build SQL datasets, analyze trading performance, and support cross-functional teams.

Lead end-to-end research and production pipelines for trading strategies, leverage statistical techniques, mentor junior researchers, and implement risk management practices.

As a Senior Quantitative Researcher, you will manage trading strategy pipelines, lead research initiatives with advanced analytics, and mentor junior researchers. Responsibilities include analyzing market data, developing trading strategies, and enhancing execution quality.