As a Decision Scientist, you will apply data-driven techniques to identify new opportunities, participate in project definition and prioritization and directly impact business strategy setting outcomes. There is a high expectation of proactively identifying, investigating, and resolving problems with data; designing and establishing key metrics; and the effective usage of various techniques such as statistical modeling and A/B experimentation to drive the best decisions.You will be responsible for the implementation, documentation, and on-going monitoring associated with any customer-facing decisions and risk controls you make.

Decision Scientists are not responsible for the direct development of advanced ML algorithms, but they work closely with ML teams to inform model performance evaluations. Therefore, you possess a general understanding of how ML models work and how to leverage their output for decision making and actioning. You may also be expected to create offline ML models for the purpose of facilitating decision making, such as forecasting and segmentation.

This role is part of our Cash App's ML team and will be deeply embedded within one of those teams - below is more about the team that this Disputes Automation Decision Scientist role is embedded in and how this role fits into the team:

Risk (Cash Card ML) -  This team owns analytical and ML solutions for the full lifecycle of the Cash Card product with a focus on mitigating risk/fraud. Team works cross-functionally with Product, Operations, Legal, and others to balance financial loss to the business, regulatory risk, and the holistic customer experience.

Decision Scientists on the team focus on the defining and implementation of automation policies through our in house rules engine that affect customer initiated Cash Card disputes. Decision Scientists in this role will work closely with specialized risk operation teams and Product to implement automation strategies based on legally defensible documented policies and outcomes. Additionally, by building on the success of the team for Cash Card, Decision Scientists in this Disputes Automation role have expanded to support disputes in other transaction types (P2P, $pay, etc).