Top Fintech Data Science Jobs

The Director of Data Science leads Workers' Compensation predictive modeling, manages a data science team, and collaborates cross-functionally to enhance pricing strategies through advanced analytics and machine learning.

Manage and execute data science projects, including data analysis, predictive modeling, and stakeholder engagement. Build and maintain statistical models to solve business problems, translating insights into actionable recommendations.

The Senior Data Scientist develops quantitative models for financial crime compliance, performs data analysis, and collaborates across teams to enhance model performance.

The Senior Data Science Manager will lead a team focused on financial crime modeling and analytics, driving strategy, coaching staff, and collaborating with senior management to address compliance needs and improve model effectiveness.

As a Data Scientist, you'll develop machine learning models for credit and fraud risk management, optimize underwriting decisions, and improve risk strategies using complex data analysis.

The Data Scientist I role involves data modeling, analytical framework development, use of statistical and econometric methods, and communicating findings to management.

As a Senior Data Scientist, you'll perform deep analyses, design A/B tests, define product metrics, build visualizations, and lead analytics projects to enhance product growth and user experience.

As a Staff Data Scientist II, you'll develop AI-driven monetization strategies and lead the design of scalable machine learning systems, collaborating across teams to innovate ad technology.

The Senior Data Scientist leads data analysis and model development projects, leveraging machine learning to drive insights and solutions. Responsibilities include executing data strategies, developing predictive models, collaborating with teams, ensuring model validity, and guiding junior members in a dynamic environment.

The role focuses on enhancing marketing campaign performance using advanced analytics and data science techniques, translating complex data into actionable insights, and collaborating across teams.

The AI Data Analyst will engineer data extraction pipelines, conduct statistical analysis, validate metrics with AI, and support organizational insights through rigorous analysis.