Case Study: Return Path achieves faster data science and reduced compute costs with Qubole

Return Path Accelerates Data Science Projects, Saves Thousands In Compute Costs With Qubole

Return Path is an email intelligence company that helps marketers optimize campaigns using large consumer and partner data sets. Its data science team was hindered by a complex on‑premises stack with multiple silos and tools, causing analysts to spend as much as 80% of their time on internal and customer data requests and creating bottlenecks that slowed insights and product development.

To address this, Return Path moved workloads to AWS and adopted Qubole for cloud infrastructure management, autoscaling, spot buying, and collaborative Notebooks. The platform enabled self‑service analytics, automated ML workflows (Airflow, boosted K‑means, classification models) and faster prototyping, which cut data‑preparation time by ~50%, reduced compute costs, improved SLA turnaround, and freed the team to deliver new features like advanced email filtering while increasing overall innovation and customer satisfaction.

Return Path

Sasha Mushovic

Data Scientist