Remote Senior Product Data Scientist - Credit & Risk

Block; San Francisco (CA); On-site; USD 239,600 - 359,400; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Family planning

Job summary

Block Data Science is seeking a Product Data Scientist to help build, measure, and improve credit products that traditional systems often miss. You will partner with product, engineering, and risk to define metrics, evaluate experiments, and turn ambiguous questions into clear decisions.

This agentic data science role uses AI tools and agent workflows to move faster across the full data science loop, from exploring datasets to building pipelines and scalable tooling that drive product growth and

Qualifications

• 12+ years of experience in a quantitative data role with a relevant background
• Experience building decision-oriented data visualizations
• Experience using AI tools to speed analyses

Responsibilities

• Turn complex data into insights and decision frameworks for product, risk, and business partners
• Use AI tools to speed and improve analyses
• Own end-to-end analysis, metrics, experiments, forecasting, and visualization
• Define measurement frameworks for credit products and customer outcomes
• Partner with risk teams to evaluate model and policy performance
• Design experiments and rollouts to influence product growth and access
• Communicate insights clearly to stakeholders across teams
• Lead technical direction for the Block Data Science team
• Drive cross-team impact across Lending products and align with senior stakeholders
• Mentor and grow junior data scientists

Skills

SQL

Data visualization

Statistical judgment

AI tools

Product analytics

Communication

Education

Bachelor's degree in statistics/data science/economics/CS

Graduate degree in statistics/data science/economics/CS

Job description

Block Data Science is seeking a Product Data Scientist to help build, measure, and improve credit products that traditional systems often miss. You will partner with product, engineering, and risk to define metrics, evaluate experiments, and turn ambiguous questions into clear decisions.

This agentic data science role uses AI tools and agent workflows to move faster across the full data science loop, from exploring datasets to building pipelines and scalable tooling that drive product growth and