Partner with product, engineering, operations, and security teams to translate complex business problems into scalable, production‑ready data science and ML solutions.
Own the full lifecycle of model development, including exploratory analysis, model design, deployment, monitoring, and continuous improvement.
Define and track success metrics, conduct rigorous analyses, and provide insights that guide product launches, feature improvements, and data‑driven decision‑making.
Build data‑driven business cases to prioritize science initiatives and demonstrate measurable impact of ML solutions.
Develop ML‑powered systems supporting key business areas.
Lead research and analysis to understand customer interactions with Alexa, and enhance overall customer experience.
Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and publishing technical wo...