Top Data & Analytics Jobs in San Francisco, CA

As a Security Analyst, you will coordinate investigations, drive incident response, research risks, develop efficient processes, and contribute to maturing the security program at Benchling, ideally with strong communication skills and technical innovation experience.

As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.

The Compensation Analyst supports the Global Total Rewards team by gathering, analyzing, and delivering compensation programs. Responsibilities include salary planning, market data requests, compensation research, and assisting with the global year-end compensation process. The role requires strong analytical skills to evaluate compensation trends, maintain compliance, and communicate findings effectively.

Senior Data Scientist role at Square focused on leveraging data science techniques to improve incremental revenue generation. Responsibilities include understanding data ecosystem, supporting revenue forecasting models, partnering with ML engineers, driving insights with analytics, and mentoring team members.

The Software Engineer will play a key role in the Core Machine Learning team at Whatnot, driving the development of machine learning operations, deploying models on critical business surfaces, and improving infrastructure for new use cases. Duties include developing scalable machine learning design patterns and advancing technical approaches to machine learning while mentoring team members and communicating effectively across product teams.

As a Principal Applied Scientist, you will lead the delivery of AI products, collaborate with ML engineers, improve data quality and usability, and engage in public-facing content to enhance Xero's profile. The role requires a focus on creating impactful, customer-facing ML and AI solutions while emphasizing high-quality code from the outset.

As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.