Senior Data Science Manager

<p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>Here are some things you’ll do on the job:</p> <ul> <li>Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences</li> <li>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</li> <li>Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity</li> <li>Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions</li> <li>Translate complex quantitative signals into clear insights that influence product direction and revenue strategy</li> <li>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</li> <li>Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact</li> </ul> <p>You should:</p> <ul> <li>Have 10+ years of experience, with 3+ years leading high-performing data teams</li> <li>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 reve