Data Scientist II

Data Scientist II on an applied decision science team building production ML models and risk management tools for an e-commerce fraud platform. Partners with business leads to identify decisioning gaps, runs experiments, and ships automation that reduces repetitive manual work. Requires 3+ years of post-undergrad experience, strong Python and SQL, and familiarity with Spark, Databricks, and GCP data pipelines.