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MercuryMercurySan Francisco, CA

Senior Data Science Manager

Leads a data science team to define measurement, experimentation, and analytics strategies powering revenue, growth, and product experiences. Partners with Product, Marketing, Sales, and Finance; requires 10+ years experience including 3+ years leading data teams, with expertise in growth/monetization analytics and causal inference.

239k – 299k/yr
Remote10+ YOEData Analytics

About the role

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

Requirements

  • 10+ years of experience, with 3+ years leading high-performing data teams
  • 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
  • Strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
  • 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
  • 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

Compensation

US employees (any location): $239,000 - $298,800 base salary, plus equity and benefits.

Skills

Experimentation DesignAttributionCausal InferenceProduct AnalyticsGrowth AnalyticsMonetization AnalyticsSQLPythonScalable Analytics FrameworksSelf-Serve AnalyticsAi-Enabled Insights

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