Senior Data Scientist - Growth

Mercury is seeking a Senior Data Scientist focused on Growth to partner with Growth product, design, engineering, and marketing leaders. This role is strategic and product-facing, with ownership of the growth funnel from acquisition through retention, including experimentation and decision support across teams.

Location

New York, NY (onsite)

Compensation

USD 189,700 - 250,900 per year

Role Responsibilities

• 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, covering first visit through signup, approval, activation, and retention.
• Build and maintain growth metrics, driver trees, and narratives that clarify where Mercury is winning and where performance is lacking.
• Size opportunities and help prioritize the Growth roadmap and annual planning, providing clear recommendations even when data is incomplete.
• Design, analyze, and communicate experiments, including A/B tests and quasi-experimental methods, to determine whether changes worked and what should happen next.
• Right-size work to decision needs, using fast and directional approaches when appropriate and rigorous methods when stakes are higher.
• Collaborate with other 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, with a clear point of view aligned to improved outcomes for entrepreneurs and revenue growth for Mercury.

Required Qualifications

• 6+ years of experience in data science, product analytics, or growth analytics, including 3+ years partnering closely with product growth teams.
• Strong product sense with a track record of shaping product direction beyond measurement, including examples where work influenced what a team built.
• Deep experience with experiment design and analysis, plus funnel, cohort, 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. Familiarity with Snowflake and dbt is a plus.
• Comfort with ambiguity and the ability to respectfully disagree with senior stakeholders using evidence.
• Clear, concise communication skills, leading with the key point and tailoring messages for technical and non-technical audiences.

Technologies

• SQL
• Python
• R
• Amplitude
• Hex
• Omni
• Snowflake
• dbt

Nice to Have

• Experience in consumer or SMB fintech, or with mobile product analytics.

Benefits and Total Rewards

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Mercury’s salary and equity ranges are updated regularly using reliable compensation survey data for the SaaS and fintech industry.

New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Target new hire base salary ranges for this role include:

• US employees (any location): $200,700 - $250,900 USD
• Canadian employees (any location): $189,700 - $237,100 CAD

Fintech Notice

MERCURY IS A FINTECH COMPANY, NOT AN FDIC-INSURED BANK. Banking services are provided through Choice Financial Group and Column N.A., Members FDIC.