Develops company A/B test framework, evaluates model quality, conducts test/learn experiments, tests hypotheses, and literally improves data science models to optimize corporate KPIs. The role is responsible for end-to-end data science contributions, including data munging and normalization, feature engineering, modeling, hyper-parameter tuning, deployment, experimental design, test execution, and measurement.