Product Data Scientist

Tech Stack

Responsibilities

• Build and own core product and growth metrics: activation, retention, engagement, and conversion for a cross-platform, PLG consumer product.
• Proactively surface insights on usage cohorts, feature adoption, funnel drop-offs, and engagement inflection points.
• Partner with product managers and engineers to define and answer data-driven questions.
• Analyze A/B experiments end-to-end, from hypothesis formation to causal interpretation and recommendations.
• Collaborate with analytics engineers on the dbt + ClickHouse stack to ensure clean data models and metric definitions.

Culture

Requirements