Top Data & Analytics Jobs in San Francisco Bay Area, CA

As a Senior Machine Learning Engineer, you will design and implement ML pipelines to enhance identity verification processes, using machine learning to prevent inauthentic identities within Cash App's ecosystem. Collaborate with teams to develop ML strategies and create solutions that scale to millions of users.

As a Senior Data Scientist in Acquisition Marketing, you will create models to optimize marketing ROI, analyze A/B experiments, and derive insights from large datasets. Collaborating with cross-functional teams, you will influence marketing strategies and facilitate decision-making through data visualizations and metrics reporting.

As a Staff Machine Learning Engineer, you will build and integrate ML solutions to evaluate customer cash flow risks, optimize decision-making processes, and identify growth opportunities through comprehensive data analysis. Collaboration with finance, product, and engineering teams is essential, while utilizing a range of ML algorithms and techniques to improve customer experience.

The role involves designing, building, and maintaining machine learning systems for real-time fraud detection. Responsibilities include collaborating with ML modelers, integrating data sources, and solving technical problems at scale.

The Machine Learning Engineering Manager will lead a team focused on personalization ML for Cash App and Afterpay. Responsibilities include mentoring engineers, collaborating with product leaders, developing ML prototypes, and contributing to strategic plans to improve customer experiences through AI and ML solutions.

The Senior Data Scientist will analyze large datasets to uncover insights that drive advertising growth within the Cash App ecosystem. Responsibilities include designing A/B experiments, collaborating with engineers for data logging, creating metrics dashboards, and communicating findings to stakeholders.

The Senior Machine Learning Engineer will design and build the Cash App's chatbot, focused on enhancing customer support through machine learning. This role includes collaborating with various teams to implement ML models, creating high-throughput modeling pipelines, and researching next-generation AI technologies.