The Data Science team at Cash App needs to derive valuable insights from unique datasets and turn those insights into actions that improve the customer experience, specifically within the Risk & Fraud organization. This involves driving strategy, monitoring key metrics, and protecting users from risk and fraud.
Requirements
- Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
- Experience with scripting and data analysis programming languages, such as Python or R
- Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
Responsibilities
- Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
- Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
- Design and analyze A/B experiments to evaluate the impact of changes and optimize our risk actions
- Work with engineers to log new, useful data sources to reflect our risk and product features
- Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
- Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
- Build and share data visualizations and self-serve dashboards for your partners
Other
- Partner directly with the Cash App Risk & Fraud org, working closely with machine learning, operations, engineers, product, legal, and compliance teams
- Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
- Previous exposure to or interest in areas like risk, fraud, statistical reporting methods, or regulatory data science
- A bachelor degree in statistics, data science, or similar STEM field with 6+ years of experience in a relevant role OR A graduate degree in statistics, data science, or similar STEM field with 4+ years of experience in a relevant role
- Work from anywhere: This role can be performed from any location in the US with the flexibility to work from home
