Data Scientist, Growth

Job summary

Responsibilities

TL;DR — The first data scientist in our new London growth team. You own the growth funnel end to end, from acquisition to activation to retention to expansion, find the levers, and work directly with growth engineering to ship experiments into the product.

• Own the growth funnel metrics end to end and drive measurable improvement across acquisition, activation, retention, and expansion.
• Find the highest-leverage opportunities in the funnel and turn them into experiments that ship, working directly with growth engineering.
• Design, run, and read growth experiments, and act on them.
• Build the instrumentation, metrics, and agents the growth team runs on.
• Help shape the growth data function as its first data scientist.

What they're looking for

• A growth-minded data scientist who owns funnel outcomes: you find the lever, run the experiment, and drive the metric, working shoulder to shoulder with growth engineers.
• Deep instinct for acquisition, activation, retention, and expansion, and what actually moves them.
• Strong SQL, Python, applied statistics, and heavy experimentation (A/B and growth tests) in a fast-moving environment.
• You build the systems and agents that surface growth opportunities proactively, not one-off analyses.
• Comfortable shipping fast with directional reads, and knowing when rigor matters.

Tech stack

• SQL
• Python
• BigQuery
• GCP