FewerJobs.
All jobs

Senior Data Science Manager

Mercury - San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States

Posted Apr 16, 2026

Benefits

Parental leave
Not verified not verified - source not recorded; timestamp not recorded
Non-birth-parent leave
Not verified not verified - source not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified not verified - source not recorded; timestamp not recorded

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Science Manager San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States In 1923, Claude Hopkins published Scientific Advertising, introducing early ideas around experimentation, attribution, and measurable decision-making. Behind the book was a team that meticulously designed, executed, and measured campaigns - setting the foundation for modern, data-driven growth. At Mercury, that mindset extends beyond marketing. It spans how we acquire customers, how we activate and convert them, and how we design product experiences that drive long-term value. We're looking for a Senior Data Science Manager to lead the data science powering Mercury's revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing. In this role, you'll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle - with a high bar for rigor and a bias toward execution. You'll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks. Here are some things you'll do on the job: - Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences - Define the measurement and experimentation strategy across the customer lifecycle - from acquisition and activation to monetization, expansion, and retention - ensuring our investments are grounded in rigorous analysis and

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.

Apply at job-boards.greenhouse.io

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs