Note: The job is a remote job and is open to candidates in USA. Mercury is a fintech company focused on data-driven growth strategies. They are seeking a Senior Data Science Manager to lead the data science initiatives that support their revenue and product value engine, partnering with various teams to ensure data-driven decision making and experimentation frameworks are in place.

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

Skills

• 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

Benefits

• Base salary
• Equity (stock options)
• Benefits

Company Overview

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