Senior Data Scientist - Growth

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...

was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing. While much has changed since then, the importance of numbers in building great technology remains.

We’re looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement.

As a Growth Data Scientist at Mercury , you will partner with Growth product, design, engineering and marketing leaders to shape how Mercury acquires, activates and retains customers across business and personal banking*.

This is a strategic, product-facing role: you’ll frame the “why” behind what we build, size opportunities, and turn the growth funnel into clear, prioritized recommendations.

You will work as a full-stack Data Scientist on projects end to end and build deep domain expertise at the intersection of Data Science, Product and Growth. You will help set the direction for how Growth measures success and decides where to invest, in line with Mercury ’s broader product and company goals.

Here are some things you’ll do on the job: Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why.

Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the metrics, driver trees and narratives that show where we’re winning and where we’re not.

Size opportunities and help prioritize the Growth roadmap and annual planning, making clear recommendations even when data is incomplete. Design, analyze and communicate experiments (A/B tests and quasi-experimental methods) that tell teams whether a change worked and what to do next. Right-size your work to