Staff Data Scientist

The Staff Data Scientist will lead end-to-end data science projects, including requirement gathering, feature engineering, model development, validation, and deployment. They will define and promote technical best practices for tools, systems, and processes such as model versioning, scalable pipelines, and experimentation frameworks. The role involves driving R&D initiatives by exploring novel modeling approaches, assessing emerging techniques, and prototyping innovative solutions for marketing challenges. Responsibilities include building, monitoring, and reporting on key marketing KPIs, developing dashboards, and presenting trends and strategic recommendations to senior leadership. Advanced analytical techniques like A/B testing, causal inference, uplift modeling, clustering, and time-series forecasting will be applied to solve high-impact marketing challenges. The data scientist will partner with Product, Growth, Finance, and Engineering teams to identify and prioritize analytics opportunities that drive user acquisition and revenue, and develop forecasting and ROI models to optimize budget allocation and inform roadmap prioritization. Collaboration with data engineering is required for designing robust instrumentation, ETL processes, and data-quality monitoring. Additionally, the role includes mentoring and coaching junior data scientists and analysts, leading code reviews, and facilitating knowledge-sharing sessions.