Top Data Science Jobs in San Francisco, CA

Maintain accurate financial records, prepare reports, analyze data, ensure regulatory compliance, contribute to budgeting, forecasting, audits, and process improvements. Strong background in accounting, financial analysis, and reporting required.

This job is for automation purposes.

Senior Business Intelligence Analyst role at Sentry, contributing to key projects, performing detailed analysis, automating reporting, and collaborating with cross-functional teams to drive data-informed decisions.

Engage with senior leadership to provide analytics and insights on business performance, competitive analysis, and metric trends. Conduct exploratory data analysis to uncover insights that drive strategic decisions. Develop and maintain operational models and data pipelines to support data analysis and reporting. Manage data and analysis requests from Investor Relations, Finance leadership, and executives.

The Staff Applied Scientist, Perception at Cruise will work on building advanced self-driving vehicles, focusing on Traffic Lights and X-Object understanding. Responsibilities include exploring new algorithms, optimizing model performance, supporting hardware projects, and ensuring high-quality engineering solutions.

Using machine learning to change wholesale and help local retailers compete with big box stores. Responsible for optimizing search, personalization, and ads. Requires 2-3 years of industry experience in machine learning and strong programming skills.

As a Data Scientist in the Trust & Safety team at Gemini, you will be responsible for identifying and mitigating fraud activity, developing fraud prevention controls, analyzing and visualizing complex data, and collaborating with cross-functional teams to drive insights. You will also design experimentation frameworks and strategies to improve fraud detection.