Top Hybrid Data & Analytics Jobs in San Francisco, CA

Manage and optimize Go-to-Market systems as a Salesforce Administrator by enhancing functionality, driving automation, and collaborating with multiple teams. Responsibilities include configuring Salesforce, managing user access, integrating systems, and ensuring best practices in data management.

Gusto seeks a Taxonomist/Ontologist to build AI-driven knowledge systems, develop taxonomies and ontologies, and enhance content delivery and personalization across teams and platforms.

The Manager, Business Intelligence Engineering will lead a team to develop data analytics capabilities, collaborate with internal partners, create dashboards, and generate insights for business improvement.

Lead a team to analyze patterns to mitigate fraud, driving efficiency through collaboration with analysts and data scientists while mentoring staff and enhancing investigation processes.

Develop solutions for client business problems, conduct research, design analyses, communicate results, and support project management while mentoring Associates.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

As Senior Director of G&A Systems, you will lead the technology strategy for Finance, HR, and Legal departments, driving efficiency and compliance through system optimization and AI integration.

As an Actuarial Consultant, you will evaluate bureau circulars, conduct competitor research, propose rate changes, and optimize rate filing processes. You'll collaborate with various teams to integrate tools and enhance accuracy in rate proposals and filings.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.