Senior Data Scientist - Growth

Mercury Com; New York (NY); On-site; USD 190,000 - 251,000; Full time

Benefits offered by this job

Stock options

RSUs

Benefits

Job summary

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

You will build growth metrics, driver trees and narratives, size opportunities, and communicate findings to executives with a clear point of view aimed at improving entrepreneurial outcomes and

Qualifications

• 6+ years in data science, product analytics, or growth analytics.
• Strong product sense with a track record of shaping product direction.
• Deep experience with experiment design and funnel/retention analysis.
• Fluency in SQL and a statistical language such as Python or R.
• Experience with product analytics and BI tools (Amplitude/Hex/Omni) and Snowflake/dbt a plus.
• Clear, concise communication with both technical and non-technical audiences.

Responsibilities

• Partner with Growth product, design, engineering, and marketing leaders to identify high-impact questions and influence what gets built and why.
• Own the growth funnel end-to-end from first visit to signup, activation, and retention.
• Build and maintain growth metrics, driver trees, and narratives to clarify where Mercury is winning and where performance is lacking.
• Size opportunities and help prioritize the Growth roadmap and annual planning with clear recommendations.
• Design, analyze, and communicate experiments, including A/B tests and quasi-experimental methods.
• Collaborate with Data Scientists, Data Engineers, and Analytics Engineers to build trusted, self-serve growth metrics.
• Communicate findings and recommendations to executives with a clear point of view aligned to revenue growth.

Skills

Growth analytics

Experiment design

SQL

Python/R

Cross-functional collaboration

Communication

Tools

Amplitude

Hex

Omni

Snowflake

dbt

Job description

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.