Data Scientist, Acquisition

Superhuman • San Francisco, CA

9d • $180,000 - $275,000 • Hybrid

About The Position

Superhuman is seeking an Acquisition Data Scientist to turn complex data into growth decisions across its portfolio of consumer and enterprise products. The role partners directly with Acquisition Marketing to improve paid and organic channel effectiveness, optimize the web funnel, and ensure marketing investment drives measurable growth. Work spans products including Grammarly, Mail, Docs, Databases, GPTZero, Fathom, and Go, and may address budget allocation, channel attribution, SEO, AEO, cross-product activation, bundled offerings, and the self-serve journey from first touch through activation and viral expansion.

The Data Scientist will be embedded in a cross-functional pod aligned to a Route to Market, collaborating with Engineering, Finance, Marketing, Design, and User Research. As the acquisition team's data partner, this person will investigate technical questions and translate findings into recommendations for channel optimization, budget decisions, and growth opportunities. The role suits a hands-on data scientist who thrives in a fast-moving, ambiguous environment and wants to influence outcomes across products, audiences, and go-to-market motions.

Superhuman offers a dynamic hybrid working model, combining focus time with in-person collaboration. Compensation is market-based and varies by location, knowledge, skills, and experience. The posting notes that salary ranges are outlined by compensation zone, but does not provide the figures in the supplied text.

Requirements

• 7+ years of data science experience and a track record of driving measurable impact for businesses and customers.
• Advanced expertise in experimentation and causal inference, including designing incrementality tests and translating results into acquisition investment decisions.
• Demonstrated ability to develop marketing mix and budget allocation models that measure channel effectiveness, identify diminishing returns, and optimize acquisition spend across channels.
• Strong applied statistics and machine learning skills used to drive product and growth decisions.
• Ability to influence cross-functional partners and turn technical insights into action through clear communication, empathetic building, and openness to ideas.
• Self-starting, creative problem-solving skills, including the ability to distill problems to their core and thrive amid ambiguity.
• Comfort using AI-assisted development tools such as Claude Code or Codex, with the judgment to validate and supervise their output.
• Bachelor’s degree in a quantitative field such as statistics, mathematics, economics, computer science, or data science, or a similar field.

Nice To Haves

• Advanced degree or equivalent practical experience.
• Familiarity with advertising platforms such as Google, Meta, and YouTube.
• Experience with SEO and AEO optimization and organic acquisition channels.
• Familiarity with experimentation platforms such as Statsig and modern data stacks such as Databricks.
• Experience at a fast-growing startup, with AI-native consumer products, and/or in B2B/SaaS.

Responsibilities

• Serve as the embedded data science partner for Acquisition Marketing, shaping channel strategy, budget allocation, prioritization, and roadmap decisions with evidence.
• Define and own key acquisition metrics, including LTV/CAC, new user growth, lifetime value, and web conversion rates.
• Design and run incrementality tests across important acquisition channels such as Google, Meta, and YouTube.
• Identify opportunities for new user growth through budget reinvestment, new acquisition sources, international expansion, and website optimization.
• Partner with Acquisition, Engineering, Design, User Research, and Finance to develop roadmaps for optimizing paid and organic acquisition channels.
• Use data to craft narratives, communicate findings, influence decisions, improve advertising channel efficiency, and drive new user growth.

Benefits

• Medical, dental, vision, mental health, and fertility benefits.
• Disability and life insurance options.
• 401(k) matching.
• Paid parental leave.
• 20 days of paid time off per year, 12 paid holidays per year, two floating holidays per year, and flexible sick time.
• Stipends, including for caregiving, pet care, wellness, and home office expenses.
• Annual professional development budget and opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior