Staff Data Scientist

As a Staff Data Scientist, the individual will drive the full machine learning lifecycle, shaping architectural decisions, guiding system design and model selection, and overseeing the deployment of scalable, production-ready models using robust MLOps practices. They will own and continuously improve ML systems in production, working with engineering to ensure high availability, reliability, and performance, defining standards for observability, monitoring model drift, and implementing retraining and alerting pipelines. The role involves partnering with Product and Engineering teams to translate ambiguous problems into actionable requirements, scoping and prioritizing ML opportunities, applying advanced data mining and machine learning techniques, proactively engaging with senior leadership to identify data-driven innovation opportunities, and regularly communicating findings and recommendations to both technical and non-technical audiences. Furthermore, the individual will collaborate with Data team members and Product leaders to shape the data science strategy and roadmap, and mentor, coach, and level up peers and stakeholders, fostering a culture of continuous learning and technical excellence.