Staff Product Data Scientist Lending
Block, Inc. is a global financial-technology company building products for economic empowerment across payments, consumer finance, commerce, Bitcoin, music, and AI.
Maintainer signals as of 9/25/2026
Projects
About Block, Inc.
Block, Inc., formerly Square, Inc., operates the Square and Cash App ecosystems and current businesses including Afterpay, TIDAL, Bitkey, Proto, and Spiral. Its current Bitcoin ecosystem includes Cash App Bitcoin services, Bitkey self-custody wallet technology, Proto mining systems, and Spiral open-source Bitcoin initiatives. Block also develops open-source AI and collaboration projects including Goose, Buzz, and Berd.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Build, measure, and improve lending and credit products by defining metrics, evaluating experiments, analyzing customer behavior, developing measurement frameworks, monitoring risk performance and bias, using AI tools across the data science workflow, leading technical standards, connecting insights across lending products, and mentoring data scientists.
Requirements
- Bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of relevant experience, or a graduate degree with 6-8+ years of relevant experience
- Advanced SQL
- Decision-oriented data visualization
- Product, analytical, and statistical judgment
- Experience using AI tools for analytical work
Responsibilities
- Turn product, customer, and risk data into insights and decision frameworks
- Use AI tools and agent workflows to accelerate analytical work
- Own analysis, metrics definition, experimentation, forecasting, visualization, and decision support
- Define and maintain measurement frameworks for credit products
- Evaluate model and policy performance with risk teams
- Monitor cohorts and identify bias or drift
- Design and analyze experiments, rollouts, and policy changes
- Communicate insights to technical, product, business, and risk stakeholders
- Lead technical direction and standards for the Data Science team
- Create reusable frameworks, measurement templates, and scalable tooling
- Connect measurement and insights across Lending products
- Mentor and develop junior data scientists
- Contribute to hiring through interviews and calibrations
Benefits
- Remote work
- Medical insurance
- Flexible time off
- Retirement savings plans
- Modern family planning
Hiring Process
Candidates may submit up to 9 active applications within 60 days, and reapplications to the same role are accepted 90 days after a previous application has been reviewed. Automated AI tools may be used to evaluate applications.
