Greenhouse ·
full-timeSenior Data Scientist - Growth
Mercury · San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Mercury is a fintech company providing banking services for businesses. As a Senior Data Scientist focused on growth, you will operate as a strategic, product-facing partner to engineering, design, and marketing teams. Your daily responsibilities involve owning the end-to-end growth funnel, from initial customer acquisition and signup to activation and long-term retention. You will be expected to frame complex business questions, size potential opportunities, and provide prioritized recommendations that influence the product roadmap. The role requires a full-stack approach, where you will design and analyze A/B tests, build self-serve metrics, and communicate data-driven narratives to stakeholders at all levels, including executives. This position is well-suited for a candidate with over six years of experience in product or growth analytics who possesses strong product intuition. You should be comfortable navigating ambiguity, working with incomplete data, and advocating for evidence-based product changes. Proficiency in SQL and a statistical programming language like Python or R is essential, along with experience using BI and product analytics tools to drive decision-making in a fast-paced environment.
In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing. While much has changed since then, the importance of numbers in building great technology remains. We’re looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement. As a Growth Data Scientist at Mercury, you will partner with Growth product, design, engineering and marketing leaders to shape how Mercury acquires, activates and retains customers across business and personal banking*. This is a strategic, product-facing role: you’ll frame the “why” behind what we build, size opportunities, and turn the growth funnel into clear, prioritized recommendations. You will work as a full-stack Data Scientist on projects end to end and build deep domain expertise at the intersection of Data Science, Product and Growth. You will help set the direction for how Growth measures success and decides where to invest, in line with Mercury’s broader product and company goals. Here are some things you’ll do on the job: Partner with Growth product, design, engineering and marketing leaders to identify the highest-impact business questions, and influence what gets built and why. Own the growth funnel end to end, from first visit through signup, approval, activation and retention, building the metrics, driver trees and narratives that show where we’re winning and where we’re not. Size opportunities and help prioritize the Growth roadmap and annual planning, making clear recommendations even when data is incomplete. Design, analyze and communicate experiments (A/B tests and quasi-experimental methods) that tell teams whether a change worked and what to do next. Right-size your work to the decision: fast and directional when that’s what’s needed, rigorous when the stakes call for it. 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 that improves entrepreneurs’ lives and generates revenue for Mercury. You should: Have 6+ years of experience in data science, product analytics or growth analytics, including 3+ years partnering closely with product growth teams. Have strong product sense and a track record of shaping product direction, not just measuring it, including times your work changed what a team built. Have deep experience with experiment design and analysis, as well as funnel, cohort and retention analysis. Have fluency in SQL and a statistical programming language (e.g. Python, R). Have experience with product analytics and BI tools such as Amplitude, Hex, Omni or similar; familiarity with Snowflake and dbt is a plus. Be comfortable with ambiguity and with respectfully disagreeing with senior stakeholders, backed by evidence. Be a clear, concise communicator who leads with the point and tailors the message to technical and non-technical audiences. Nice to have: experience in consumer or SMB fintech, or with mobile product analytics. * Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. #LI-RA1 Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following : US employees (any location): $200,700 — $250,900 USD Canadian employees (any location): $189,700 — $237,100 CAD
| Role | Senior Data Scientist - Growth |
|---|---|
| Company | Mercury |
| Location | San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-09 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Data Scientist - Growth at Mercury: frequently asked questions
- What is the salary for this role?
- Mercury has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Data Scientist - Growth position remote, hybrid or onsite?
- The listing marks this role as remote, with San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States as the location.
- What is the application deadline?
- Mercury has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Data Scientist - Growth role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
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