Data Scientist, Product

Job summary

Responsibilities

TL;DR - You own the metrics for a product area, find where users get stuck or drop off, and turn that into product bets that ship. You build the measurement and experimentation the teams rely on, and the systems that surface opportunities without waiting on you.

• Own the metrics and funnels for a product area, and drive measurable improvement in activation, engagement, and retention.
• Find opportunities in user behavior and turn them into product bets, working directly with PMs and engineers to ship them.
• Design and run experiments, and act on the results.
• Build the instrumentation, semantic models, and agents the product team runs on.
• Keep the data the team trusts trustworthy: quality, definitions, and lineage.

What they're looking for

• A product-minded data scientist who owns a product area's outcomes: you find the opportunity, form the bet, and see it shipped, rather than handing insights to a PM.
• You build systems, not one-offs: the instrumentation, metrics, and agents that produce insight and flag opportunities proactively.
• Strong SQL, Python, applied statistics, and experimentation (A/B and growth tests).
• Deep instinct for user behavior: activation, engagement, retention, and what moves them.
• Comfortable shipping directional answers fast, and knowing when a decision needs rigor.

Tech stack

• SQL
• Python
• BigQuery
• GCP