Product Data Scientist

Role Overview

Partner with Product Managers and vertical leadership to identify growth opportunities, establish metric frameworks, and lead deep-dive analyses to understand consumer behavior. Work closely with Product and Engineering teams to translate findings into consumer-facing features.

What You Will Do

Drive growth through rigorous analysis, experimentation, and applied machine learning. Develop predictive and statistical models that improve consumer experiences. Communicate findings clearly to both technical and non-technical stakeholders.

Why It Might Be a Fit

This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship.

Requirements

• 3+ years of professional experience in data science, product analytics, or a related analytical discipline
• Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling
• Hands-on experience with Databricks for analytical workflows, data processing, or model development
• Proven experience designing, analyzing, and interpreting A/B tests
• Strong understanding of product analytics, including funnel optimization, metric development, cohort analysis, and behavioral segmentation
• Working knowledge of applied statistics and machine learning techniques
• Experience developing dashboards and automating analytical workflows using modern BI and data tools
• Excellent communication and collaboration skills