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Own and build the integrated demand-forecasting models (D0–D30) that drive sorting, routing and network planning. Lead the hardest forecasting problems: long-horizon model generation, inbound international volume, parcel size/weight prediction. Define methodology, validation standards, model interfaces, and production quality while collaborating with ML engineers, analysts and operations to measure model impact on cost per parcel.

As a Senior Analytics Engineer, you'll design core data models, build AI system foundations, and ensure data quality while collaborating across teams.

Embed in the Pitstop squad to build monitoring and analytics for launch readiness, handover speed/accuracy, retention, and cost-per-parcel. Investigate performance, quantify initiative impact, diagnose churn and LiveOps ticket drivers, maintain dbt models and pipelines, and deliver KPIs and dashboards to guide squad decisions.