Remote opportunity at
MercurySenior Data Scientist - Growth
Mercury is hiring a Senior Data Scientist for its Growth team. The role is remote, full-time, and works alongside growth product and design teams, plus engineering…
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About This Role
Mercury is hiring a Senior Data Scientist for its Growth team. The role is remote, full-time, and works alongside growth product and design teams, plus engineering and marketing leaders, on how Mercury wins, activates and keeps customers across its business and personal banking offerings. The posting describes Mercury as a fintech company rather than an FDIC-insured bank. This is a product-facing position. The data scientist frames the questions behind what…
Job Description
Mercury is hiring a Senior Data Scientist for its Growth team. The role is remote, full-time, and works alongside growth product and design teams, plus engineering and marketing leaders, on how Mercury wins, activates and keeps customers across its business and personal banking offerings. The posting describes Mercury as a fintech company rather than an FDIC-insured bank.
This is a product-facing position. The data scientist frames the questions behind what gets built, estimates the size of opportunities and turns the growth funnel into clear, ranked recommendations. Ownership spans everything from a first site visit to sign-up, approval, activation and keeping customers, with metrics, driver trees and written narratives that show where growth is working and where it is not.
Other duties include steering Growth roadmap and annual planning, running and reading A/B tests and quasi-experiments, and matching analysis depth to the decision. The role partners with peers in data science, data engineering and analytics engineering to create reliable, self-serve growth metrics, and communicates findings to audiences ranging from executives to individual contributors.
Candidates bring six or more years in analytics for data science or growth teams, three of which were spent alongside product growth groups. The posting asks for a history of changing what a team built, not just measuring it, along with experience in experiment design, funnel and cohort analysis, SQL, and a statistical language such as Python or R. Familiarity with Amplitude, Hex, Omni, Snowflake and dbt is useful, and exposure to consumer or small-business fintech, or to mobile analytics, is a plus.
The base salary range for US employees, in any location, is $200,700 to $250,900 USD. Canadian employees in any location fall within CAD 189,700 to 237,100.
Responsibilities
- Pinpoint the most valuable business questions alongside leaders in product, design, engineering and marketing
- Own the growth funnel from first visit through retention, including metrics and narratives on performance
- Estimate opportunity sizes and help rank the Growth roadmap and annual plan
- Plan, run and interpret controlled experiments and quasi-experimental work
- Create self-serve growth measures alongside peers in data science, data engineering and analytics engineering
- Present findings and recommendations to executives and other audiences
Requirements
- Six-plus years across data science and growth analytics, including product analytics
- Three or more years working closely with product growth teams
- Demonstrated product sense and a record of changing product direction
- Deep experience in experiment design and analysis, plus funnel, cohort and retention work
- Fluency in SQL and in a statistical language such as Python or R
- Comfort with ambiguity and with respectfully challenging senior stakeholders using evidence
Qualifications
- Hands-on use of Amplitude, Hex, Omni or similar BI products
- Familiarity with Snowflake and dbt
- Exposure to consumer or small-business fintech, or to mobile analytics
Core Skills
Benefits
- Base salary, equity (stock options or RSUs) and benefits as part of total rewards
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this role remote?
Yes, the posting lists the job as remote.
What is the base salary range?
The posting gives $200,700 to $250,900 USD for US employees in any location, and CAD 189,700 to 237,100 for Canadian employees in any location.
How many years of experience are needed?
Candidates need six-plus years in analytics roles and three-plus years working with product growth teams.
Which tools does the role use?
The posting names SQL, a statistical language such as Python or R, and tools like Amplitude, Hex, Omni, Snowflake and dbt.
Sample Interview Questions
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