Senior Data Science Manager

Mercury•San Francisco, NY

16h•$239,000 - $298,800

About The Position

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.

Requirements

Have 10+ years of experience, with 3+ years leading high-performing data teams
Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact

Responsibilities

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 trusted data
Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact