Senior Data Science Manager

At Mercury, the mindset of data-driven growth extends beyond marketing to how customers are acquired, activated, converted, and how product experiences are designed to drive long-term value. Mercury values diversity & belonging and is an Equal Employment Opportunity employer.

Introduction

Mercury is seeking a Senior Data Science Manager to lead the data science efforts powering the company's revenue and product value engine. This role involves defining performance measurement, prioritizing investments, and accelerating value creation across the customer lifecycle, with a strong focus on rigorous analysis and execution.

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 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.

Requirements

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

Benefits

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for the industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

About Company

At Mercury, the mindset of data-driven growth extends beyond marketing to how customers are acquired, activated, converted, and how product experiences are designed to drive long-term value. Mercury values diversity & belonging and is an Equal Employment Opportunity employer.

How to Apply

If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com. Interested candidates should apply through the provided application link.