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Senior Data Scientist - Growth

Mercury· Data
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Hybrid (San Francisco, CA), Hybrid (New York, NY), Hybrid (Portland, OR), Remote$200.7k - $250.9kfull-timePosted 1w ago

About the role

Growth Data Scientist role focused on shaping how Mercury acquires, activates, and retains customers. Full-stack data science across end-to-end growth funnel with partnerships across product, design, engineering, and marketing; responsible for metrics, experiments, and prioritized recommendations aligned with Mercury’s goals.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:SQLPython or RExperiment design and analysisAmplitude / Hex / Omni
Nice to have:Snowflake / dbt

Benefits

  • Total Rewards package includes base salary, equity (stock options/RSUs), and benefits.
  • Salary and equity ranges updated regularly based on industry data; new hire offers based on experience, expertise, location, and pay equity relative to peers.
Last updated Oct 14, 2026. Interested? Apply on the company site.
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