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Senior Data Scientist - Growth

MercurySan Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United StatesData
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Salary
$200,700 — $250,900 USD
Job type
Full-time
Work mode
Remote
Experience
Senior · 6+ yrs
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Located in San Francisco, CA, New York, NY, Portland, OR, or available remotely within Canada or the United States, this full-time Senior Data Scientist - Growth position at Mercury suits an experienced analytics professional seeking a strategic role in the fintech sector. The position involves partnering with cross-functional leaders to shape customer acquisition, activation, and retention initiatives.

Role Overview

Mercury is hiring a Senior Data Scientist for the Growth team to build analytics capabilities and guide business decisions. This strategic, product-facing position involves determining the reasoning behind product developments, quantifying opportunities, and transforming the growth funnel into actionable recommendations.

Key Responsibilities

Collaborate with Growth product, design, engineering, and marketing leaders to address high-impact business questions and influence development paths.
Manage the growth funnel from initial visit through signup, approval, activation, and retention by creating metrics, driver trees, and performance narratives.
Quantify opportunities to help prioritize the Growth roadmap and annual planning through clear recommendations based on available data.
Design, analyze, and communicate A/B tests and quasi-experimental methods to evaluate changes and guide subsequent actions.
Adapt analytical depth to specific decisions, balancing fast directional insights with rigorous methodology when necessary.
Partner with Data Scientists, Data Engineers, and Analytics Engineers to establish reliable, self-serve growth metrics.
Share findings and recommendations with various audiences, including executives, to support entrepreneurs and generate revenue.

Requirements

Minimum of 6 years of professional experience in data science, product analytics, or growth analytics.
At least 3 years of direct experience partnering closely with product growth teams.
Demonstrated product sense with a history of shaping product direction rather than solely measuring results.
Extensive background in experiment design, analysis, funnel analysis, cohort analysis, and retention analysis.
Proficiency in SQL alongside a statistical programming language such as Python or R.
Experience utilizing product analytics and business intelligence tools like Amplitude, Hex, or Omni.
Ability to navigate ambiguity and present evidence-based disagreements to senior stakeholders.
Clear and concise communication skills tailored for both technical and non-technical groups.

Nice to Have

Background in consumer or small and medium-sized business fintech.
Familiarity with mobile product analytics.
Experience with Snowflake and dbt.

Skills and Tools

SQL
Python
R
Amplitude
Hex
Omni
Snowflake
dbt

Salary and Benefits

Base salary ranges for this role vary by region. United States employees receive between $200,700 and $250,900 USD, while Canadian employees receive between $189,700 and $237,100 CAD. The total rewards package also includes equity in the form of stock options or RSUs, alongside standard company benefits.

About the Company

Mercury operates as a financial technology company providing banking services through Choice Financial Group and Column N.A., Members FDIC. The organization values diversity and inclusion, functioning as an Equal Employment Opportunity employer that considers all applicants without regard to legally protected characteristics.

How to Apply

Interested candidates should submit their application directly on the official Mercury careers page.

Skills and tech stack

SQLPythonRAmplitudeHexOmniSnowflakedbt

Questions candidates ask

Where can the Senior Data Scientist work from?

This role is available in San Francisco, CA, New York, NY, Portland, OR, or remotely within Canada or the United States.

How many years of experience are required?

Candidates must have at least 6 years of experience in data science, product analytics, or growth analytics, including 3 or more years working closely with product growth teams.

What programming languages are needed?

Fluency in SQL and a statistical programming language such as Python or R is required.

What is the salary range for US employees?

The target new hire base salary range for US employees is $200,700 to $250,900 USD.

Is banking provided directly by Mercury?

No, Mercury is a fintech company rather than an FDIC-insured bank. Banking services are provided through Choice Financial Group and Column N.A., Members FDIC.

Ready to apply?

The application is on the official Mercury careers page.

Apply on company site