Top Fintech Data Science Jobs in San Francisco, CA

As a Data Scientist, you will own analytical projects that influence product decisions and marketing campaigns. You'll apply statistical methods and predictive modeling to enhance customer value and drive business outcomes, collaborating cross-functionally to integrate insights into strategies.

Lead design, development, and maintenance of fraud-risk and predictive models, architect ETL and storage for large datasets, manage analytic projects and teams, document solutions, research new techniques, and communicate technical results to stakeholders.

Lead end-to-end data science projects to enhance Parafin's underwriting engine by developing predictive models, optimizing pricing, and collaborating with engineering teams.

The Sr Data Scientist will utilize advanced analytics and modeling to enhance loan processes, working with various teams to drive efficiency and improve insights.

The Data Science Intern will develop machine learning algorithms, analyze data, and communicate insights to support local retailers. Responsibilities include executing projects and tackling complex marketplace issues.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.