Top Fintech Data Science Jobs in San Francisco, CA

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 Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

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.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

As a Data Scientist at Opendoor, you will build pricing models and frameworks, run experiments, and collaborate with teams to enhance pricing accuracy and business strategy.

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.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.