The Senior Data Scientist will sit within the product organization and help drive data-informed product decisions across reporting, deep-dive analysis, product evaluations, and AI data initiatives. This role is best suited for someone who combines strong analytical rigor with product judgment and can turn ambiguous business questions into clear metrics, structured analysis, and actionable recommendations.This person will partner closely with Product, Engineering, Analytics, and business stakeholders to define success metrics, evaluate product performance, identify opportunities, and communicate insights that influence roadmap and investment decisions. The role will balance hands-on analysis with strategic thought partnership, with an emphasis on product health, KPI development, feature evaluation, and scalable analytics practices.Key ResponsibilitiesPartner with Product Managers, Engineers, and cross-functional stakeholders to answer strategic product questions through reporting, analysis, deep dives, and predictive or prescriptive modeling.Forecast business outcomes and identify opportunities to improve product performance.Define, maintain, and improve key product metrics, dashboards, and monitoring frameworks used to assess product performance and business impact.Apply machine learning techniques to customer behavior, engagement, retention, churn, propensity scoring, segmentation, recommendation systems, and personalization initiativesEvaluate product launches, feature changes, and AI-enabled initiatives by measuring outcomes against success metrics and communicating clear recommendations.Support experimentation and measurement design, including hypothesis development, test readouts, and post-launch evaluations where applicable.Build scalable modeling, reporting, and self-service analytics assets that improve decision-making speed and consistency across the product organization.Partner with data engineering and platform teams to improve data quality, instrumentati