Senior Data Scientist – Growth

Mercury

. Partner with Growth product, design, engineering and marketing leaders to identify high-impact business questions and influence what gets built and why .

Posted 10/9/2026full-timeRemote • United States, CanadaSenior💰 $200,700 - $250,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and product analytics, with a strong focus on growth metrics, experiment design, and effective communication across technical and non-technical audiences. Proficient in SQL and statistical programming languages, with experience in product analytics tools and methodologies.

Highest-signal resume keywords

Data ScienceProduct AnalyticsExperiment DesignSQLA/B Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFunnel AnalysisCohort AnalysisRetention AnalysisStatistical ProgrammingMetrics DevelopmentDriver TreesGrowth Performance MetricsQuasi-Experimental MethodsProduct Direction Shaping

Soft Skills

Clear CommunicationCollaborationComfort with AmbiguityInfluencing StakeholdersConcise Presentation

Tools & Technologies

SQLPythonRAmplitudeHexOmniSnowflakeDbt

Industry Keywords

FintechConsumer BankingSMB BankingGrowth RoadmapBusiness Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with Growth product, design, engineering and marketing leaders to identify high-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
Build metrics, driver trees and narratives showing growth performance
Size opportunities and help prioritize the Growth roadmap and annual planning
Design, analyze and communicate A/B tests and quasi-experimental methods
Right-size analysis from fast and directional to rigorous based on decision stakes
Collaborate with Data Scientists, Data Engineers and Analytics Engineers to build trusted, self-serve growth metrics
Communicate findings and recommendations to audiences at all levels, including executives
Help shape how Mercury acquires, activates and retains customers across business and personal banking

Requirements

What you’ll need

6+ years of experience in data science, product analytics or growth analytics, including 3+ years partnering closely with product growth teams
Strong product sense and a track record of shaping product direction, including times your work changed what a team built
Deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis
Fluency in SQL and a statistical programming language (e.g. Python, R)
Experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar
Familiarity with Snowflake and dbt is a plus
Comfortable with ambiguity and respectfully disagreeing with senior stakeholders, backed by evidence
Clear, concise communication tailored to technical and non-technical audiences
Nice to have: experience in consumer or SMB fintech, or with mobile product analytics

Benefits

Comp & perks

Base salary
Equity (stock options/RSUs)
Benefits
Equal Employment Opportunity employer
Reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs