Senior Data Scientist - Growth (Fintech)

Location: San Francisco, CA; New York, NY; Portland, OR; or remote within Canada or the United States.

Base salary: US employees: $200,700–$250,900 USD; Canadian employees: $189,700–$237,100 CAD. Total rewards also include equity and benefits.

Company

Mercury is a fintech company providing business and personal banking services through partner financial institutions.

What you will do

• Partner with Growth product, design, engineering, and marketing leaders to identify high-impact questions and influence product direction.
• Own the growth funnel from first visit through signup, approval, activation, and retention.
• Build metrics, driver trees, and narratives that identify performance gaps and opportunities.
• Size opportunities and support Growth roadmap and annual planning decisions.
• Design, analyze, and communicate A/B tests and quasi-experiments.
• Collaborate with Data Scientists, Data Engineers, and Analytics Engineers to build trusted self-serve growth metrics.

Requirements

• 6+ years of experience in data science, product analytics, or growth analytics, including 3+ years partnering with product growth teams.
• Strong product sense and experience shaping product direction through data.
• Deep experience with experiment design and analysis, funnel analysis, cohort analysis, and retention analysis.
• Fluency in SQL and a statistical programming language such as Python or R.
• Experience with product analytics and BI tools such as Amplitude, Hex, Omni, or similar.
• Clear communication skills and the ability to work with ambiguity and challenge senior stakeholders using evidence.

Nice to have

• Familiarity with Snowflake and dbt.
• Experience in consumer or SMB fintech.
• Experience with mobile product analytics.

Culture & Benefits

• Full-time employment with base salary, equity, and benefits.
• Commitment to diversity, belonging, equal employment opportunity, and reasonable accommodations during recruitment.
• Compensation is adjusted based on experience, expertise, geographic location, and internal pay equity.