Top Fintech Data Science Jobs in San Francisco, CA

The Data Scientist will develop automated risk monitoring capabilities and key risk indicators, collaborating with teams to enhance decision-making and risk management. Responsibilities include analytics, metric development, and communicating findings to stakeholders to improve risk controls.

As a Senior Data Analyst, you will enhance member experiences through data insights, experimentation, and collaboration with product and engineering teams to drive engagement and retention.

The Sr. Data Scientist will enhance loss forecasting methodologies, analyze large data sets, and provide insights to stakeholders while automating processes.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

The Principal Data Engineer will architect and lead the development of a Multi-Agent ETL Platform, modernize data platforms, implement data pipelines, and drive innovation with AI integrations.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

Lead data initiatives for the CEO and business leads, specializing in causal inference, forecasting, and mentoring junior members. Drive data product development and insights generation using AI.

The role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.