Senior Data Science Manager

Benefits

Parental leave

Not verified not verified - timestamp not recorded

Non-birth-parent leave

Not verified not verified - 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

CAD 226K-282K From the posting source checked Jun 20, 2026

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

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 preview and links to the original posting.