Senior Data Scientist, Recommendations

Partner with Product, Engineering, and ML to identify opportunities, frame hypotheses, define success metrics, and translate findings into actionable product recommendations.
Improve algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment.
Define and lead experimentation for a two-sided marketplace; drive meta-analyses and playbooks to uplevel reads and decision quality.
Build tools and dashboards to improve experiment readability and KPI monitoring; standardize templates and health checks for fast, reliable iteration.
Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact; mentor other data scientists.
Serve as a trusted partner for the team and advance practices in experimentation, causal inference, and model evaluation.