Top Senior Analytics Jobs in San Francisco Bay Area, CA

The Applied AI Research Manager will lead and manage the team focused on developing AI technologies for the Descript product, ensuring project completion, mentoring researchers, and integrating AI into products. The role involves staying updated on AI advancements and representing the company at events.

The Data & Analytics Manager will optimize the customer journey for Gong’s post sales teams by translating business problems into analytics solutions, building data visualizations, applying statistical techniques, and communicating insights clearly. They will use tools such as Snowflake and Tableau for data analysis and be involved in measuring interaction efficacy with customers.

This role involves researching and developing measurement methodologies to support Reddit's advertising efforts. The researcher will utilize both quantitative and qualitative methods to enhance measurement capabilities and consult with analytics teams to optimize methodologies for advertisers. Responsibilities include innovative primary research, advising marketing teams, and representing Reddit in the larger analytics community.

The Senior Manager of Data for Paid Placement will lead a team of data scientists, define technical strategy, and contribute to overall data organization. Responsibilities include project execution, roadmapping, and collaboration with cross-functional teams to achieve significant business impact through data science and machine learning initiatives.

The Data Analyst in Growth Strategy & Analytics at Lyft will lead management, experimentation, and strategy for key acquisition and lifecycle levers. Responsibilities include analyzing performance, developing dashboards, and translating insights into actionable plans while identifying opportunities and resolving data quality issues.

As a Senior Data Science Manager at Cruise, you will grow a team of data scientists, set safety metrics strategies, improve machine learning models, and advocate for data science best practices, collaborating with various stakeholders in the self-driving industry.

The Lead Data Engineer will develop and optimize data infrastructure, building ETL pipelines, managing data warehouses, and ensuring data system reliability. This role requires collaboration with Data Science and Analytics teams to integrate ML models and ensure data quality compliance with regulations.