About the company
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
Job Summary
You Will
đź“ŤAnalyze large datasets using SQL and Python to surface actionable insights that directly inform our product and credit strategy đź“ŤApproach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior and loan performance đź“ŤDesign and analyze A/B experiments and employ pseudo-experimental techniques like causal inference and difference-in-difference đź“ŤUse SQL and Python to identify and curate new data sources for modeling, making sense of messy datasets and bringing clarity to business decisions đź“ŤPartner closely with ML engineers throughout the modeling lifecycle to develop, deploy, evaluate, and monitor models and credit policies đź“ŤMaintain and improve our systems for simulating the impacts of model/policy changes and the decision engine that implements those rules in production đź“ŤEffectively communicate your work with team leads and cross-functional stakeholders on a regular basis đź“ŤBuild, visualize and report on metrics that drive strategy and facilitate decision making for key business initiatives
You Have
đź“ŤMinimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. đź“ŤA background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field đź“ŤAdvanced proficiency with SQL and Python for data analysis đź“ŤExperience designing and evaluating experiments at scale
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