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SeniorFull-timePythonAWSMySQLData ScienceGitAI
Salary Range
$104,975 - $142,025 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join the Risk Product Data Science team at Block, Inc. This role focuses on improving risk outcomes while maintaining a strong seller experience across the Payments Risk domain. The Data Scientist will explore new classes of risk controls, size opportunities, assess impact, and evaluate trade-offs.
Key Responsibilities
- →Analyze risk actions and quantify impact on losses and seller experience
- →Evaluate effectiveness and trade-offs of risk controls
- →Design, execute, and analyze A/B tests to validate features and optimize risk decisions
- →Apply statistical and modeling techniques to understand customer behavior and inform strategy
- →Collaborate with engineers to log and curate data for analysis
- →Build metrics, dashboards, and visualizations to monitor performance and guide decisions
- →Partner cross-functionally to translate insights into actionable product and risk improvements
- →Communicate findings and recommendations clearly to team leads and stakeholders
Requirements
- ✓8+ years of post-graduate industry experience in product data science; experience in risk is a plus
- ✓Deep experience in product A/B testing, including experiment design, analysis, interpretation, and guiding decisions under imperfect data
- ✓Track record of influencing product and risk strategy through data-driven insights and strong cross-functional partnerships
- ✓Proven ability to build and own metrics, dashboards, and monitoring systems in fast-paced, evolving environments
- ✓Ability to communicate complex technical concepts clearly to non-technical audiences and influence without authority
- ✓Strong stakeholder management skills, including navigating trade-offs across Product, Engineering, and Risk
- ✓Strategic thinker who balances analytical rigor with business pragmatism and long-term impact
- ✓Proactive mindset with the ability to identify emerging risks and opportunities through data patterns
- ✓Self-directed operator who can independently drive projects end-to-end after collaborative scoping
- ✓Bachelor's degree required in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field; Master's or PhD preferred, or equivalent advanced industry experience
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