Responsibilities: Depending on level (Data Scientist, Senior, or Lead), you will own projects end-to-end from problem framing through deployment, or lead critical workstreams with broad autonomy: Identify and frame high-value problems across functional areas; translate business questions into analytical strategies, experiments, and measurable outcomes. Build production-ready solutions: robust data pipelines, feature engineering, measurement discipline (KPIs, guardrails, and experiment design), model monitoring, and clear, reproducible documentation aligned to best practices.