Data Scientist II

Apply causal inference methods; Build dashboards and tooling; Build dbt models; Coach stakeholders on statistical concepts; Collaborate with Data Engineering on data quality; Communicate insights to stakeholders; Conduct EDA and data validation; Conduct ad hoc analysis; Define and maintain KPIs; Perform product analytics; Run A B tests end to end; Translate results into actionable recommendations; Use machine learning for classification regression clustering;