Top Remote Data & Analytics Jobs in San Francisco, CA

As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The Reinsurance Analyst will support the reinsurance placement process through data analysis, research, and documentation. Responsibilities include learning reinsurance agreements, assisting with client services, and developing accounting and claims administration skills. The role involves collaboration with various teams and stakeholders, ensuring compliance with best practices, and participating in a comprehensive training program to gain industry knowledge.

The Data Scientist at Mismo will use data to inform team goals, drive business outcomes through analysis and improvements in operational processes, and explore statistical models to enhance understanding of business drivers. Responsibilities include data mining, ensuring data integrity, and communicating insights to senior management.

This is a speculative job application for candidates who want to work at Hugging Face. The company emphasizes diversity, well-being, and continuous development, and encourages applicants to brainstorm their potential roles based on personal strengths and interests.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.