Senior Product Data Scientist

📋 Description

• • Serve as the dedicated analytical leader for the Zable app, used by over 1 million customers on iOS and Android, driving product analytics that directly shape product strategy and core user experience
• • Develop and maintain key product metrics, dashboards, and reporting frameworks to monitor user behavior, app health, and business performance across the Zable platform
• • Conduct deep-dive analyses into user segmentation, lifecycle patterns, and engagement drivers to identify growth opportunities and friction points within the app
• • Apply data science techniques including predictive modeling, churn risk assessment, and uplift modeling to inform proactive product decisions and enhance user retention
• • Own the end-to-end A/B testing lifecycle: designing experiments, ensuring statistical rigor, executing tests, analyzing results, and translating findings into clear recommendations for product and engineering teams
• • Establish and champion experimentation standards across the growth analytics team, including test design, sample size calculation, hypothesis testing, and result interpretation
• • Challenge assumptions and provide data-driven perspectives to influence strategic discussions, roadmap planning, and prioritization of product initiatives
• • Partner closely with product managers, analysts, and engineers to embed data into daily decision-making workflows and translate complex analytical insights into actionable business recommendations
• • Define and promote analytical best practices, methodologies, and standards within the team to elevate the quality and impact of product analytics
• • Build and maintain robust data models and pipelines using dbt to ensure accurate, scalable, and reusable analytical infrastructure
• • Utilize SQL and Python extensively for data extraction, transformation, analysis, and automation of reporting tasks
• • Communicate findings effectively to cross-functional stakeholders and senior product leadership, translating technical results into strategic business insights
• • Act as a key strategic thought partner to Product, Growth, and Engineering leadership, contributing to long-term vision and prioritization of product features
• • Ensure analytical outputs are reliable, reproducible, and aligned with business objectives, maintaining high standards of statistical integrity and data quality