180K–275K USD / year
Data Scientist, Acquisition
DataHybrid — San Francisco, New York City, Seattle
Published on 2026-10-27
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About this role
Partner with Acquisition Marketing to improve paid and organic channel performance and grow users across Superhuman’s product portfolio. Use experimentation, causal inference, and marketing investment analysis to guide acquisition strategy, budget allocation, and web-funnel optimization.
About the company
Superhuman is an email productivity tool designed to enhance users' efficiency and workflow. The company serves professionals looking to optimize their email management through innovative features and streamlined processes.
The team
Data Science, embedded with the Acquisition Marketing team in a cross-functional go-to-market pod.
Stack
StatsigDatabricksClaude CodeCodex
What you'll do
- Guide acquisition channel strategy, budget allocation, and prioritization with data.
- Define and own acquisition metrics, including LTV/CAC, user growth, lifetime value, and web conversion.
- Design and run incrementality tests across channels such as Google, Meta, and YouTube.
- Identify growth opportunities through budget reinvestment, new channels, international expansion, and website optimization.
- Partner with Marketing, Engineering, Design, User Research, and Finance on acquisition optimization roadmaps.
- Communicate findings and recommendations to influence growth decisions.
What we're looking for
- 7+ years of data science experience with measurable business and customer impact.
- Advanced expertise in experimentation and causal inference, including incrementality testing.
- Experience developing marketing mix and budget allocation models to assess channel effectiveness and diminishing returns.
- Strong applied statistics and machine learning skills.
- Able to influence cross-functional partners and communicate technical insights clearly.
- Comfortable working independently and navigating ambiguity.
- Bachelor’s degree in a quantitative field or equivalent practical experience.
Nice to have
- Familiarity with Google, Meta, and YouTube advertising platforms.
- Experience with SEO, AEO, and organic acquisition.
- Familiarity with Statsig or Databricks.
- Experience at a fast-growing startup, with AI-native consumer products, or in B2B/SaaS.
Benefits
- Equity
- 401(k) matching
- Paid parental leave
- 20 days of paid time off, 12 paid holidays, two floating holidays, and flexible sick time
- Health, dental, vision, mental health, and fertility benefits
- Professional development budget and stipends