Cash App is seeking a Staff Data Scientist, Risk - Transfers to analyze large datasets and drive strategy through advanced statistical techniques. The role requires a strong sense of urgency and deep appreciation for how work directly impacts the customer experience across the entire product portfolio. Requirements BSc with 12+ years, MSc with 8+ years or a PhD 6+ years of experience Background in Statistics, Mathematics, Biostatistics, Economics or related quantitative field Previous exposure to or interest in areas like finance or strategy Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) Extensive experience with scripting and data analysis programming languages, such as Python or R Deep familiarity with cohort and funnel analyses, a well-developed understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities SQL, Snowflake, etc. Python (Pandas, Numpy) Tableau, Airflow, Looker, Mode, Prefect Benefits Remote work Medical insurance Flexible time off Retirement savings plans Modern family planning Originally posted on Himalayas