Senior Data Scientist, Risk and Support

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Support and Risk team powers decisioning behind Cash App, Afterpay, Square, and the next generation of Operations automation. We’re looking for a Data Scientist to help build, measure, and improve Risk and Support Operations that serve our customers with speed and quality. You’ll partner closely with product, engineering, and risk teams to define metrics, evaluate experiments, understand customer behavior, and turn ambiguous product questions into clear decisions. This is an agentic data science role. You’ll use AI tools and agent workflows to move faster and think more rigorously across the fu [... source excerpt omitted ...] ce loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions. You Will Turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners Use AI tools and agent workflows to improve both the speed and quality of analytical work, from accelerating exploration and automating repetitive tasks to generating hypotheses and stress-testing conclusions Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support Define and maintain measureme [... source excerpt omitted ...] rmance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth Approach ambiguous Risk and Support questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers Lead technical direction and standards for the Block Data Science team - making and building consensus on key technical decisions, and creating reusable frameworks