Senior Data Scientist, Risk and Support

About Us 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. 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 full data science loop: exploring messy datasets, building pipelines, stress-testing hypotheses, evaluating product changes, and turning analysis into decisions. Responsibilities 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 measurement frameworks for Support and Risk Operations, including contact demand forecasting, staffing modeling, queue health and optimization Partner with risk teams to evaluate model and policy performance, 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 by making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others Drive localized cross-team impact by connecting measurement and insights across Support and Risk Operations and partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological safety, and contributing to hiring through interviews and calibrations Requirements A bachelor's degree in statistics, data science, economics, computer science, or a similar quantitative field with 12+ years of experience in a relevant role, OR a graduate degree in statistics, data science, economics, computer science, or a similar quantitative field with 6-8+ years of experience in a relevant role Advanced proficiency with SQL and experience building clear, decision-oriented data visualizations Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions Experience using AI tools to improve the speed, quality, and durability of analytical work Compensation Block takes a market-based approach to pay. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. Zone A: $198,000–$297,000 USD Zone B: $188,100–$282,100 USD Zone C: $178,200–$267,400 USD Zone D: $168,300–$252,500 USD Benefits Remote work Medical insurance Flexible time off Retirement savings plans Modern family planning #J-18808-Ljbffr Unchain Data