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*. 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. 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.

Collaborate with other Data Scientists, Data Engineers and Analytics Engineers to build trusted, self-serve growth metrics. Have 6+ years of experience in data science,



product analytics or growth analytics, including 3+ years partnering closely with product growth teams. Have deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis.

Have fluency in SQL and a statistical programming language (e.g. Python, R). Have experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar; Be comfortable with ambiguity and with respectfully disagreeing with senior stakeholders, backed by evidence.

Be a clear, concise communicator who leads with the point and tailors the message to technical and non-technical audiences. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.

Recent hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. 189,700—$237,100 CAD #

📌 Senior Data Scientist - Growth (Winnipeg)
🏢 Mercury
📍 Winnipeg