Data Scientist, Acquisition

Superhuman

. Partner directly with Acquisition Marketing to improve paid and organic channel effectiveness .

Posted 10/27/2026full-timeUnited StatesSeniorLead💰 $180,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced expertise in data science, particularly in experimentation, causal inference, and applied statistics to drive acquisition marketing strategies. Proficient in developing marketing mix models and optimizing budget allocation across various digital channels.

Highest-signal resume keywords

Data Science ExperienceExperimentation And Causal InferenceIncrementality Test DesignApplied Statistics And Machine LearningMarketing Mix And Budget Allocation Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceExperimentationCausal InferenceApplied StatisticsMachine LearningIncrementality TestingSEOAEOBudget AllocationUser Growth Metrics

Soft Skills

Creative Problem-SolverInfluencing Cross-Functional PartnersCommunication

Tools & Technologies

Google AdsMeta AdsYouTube AdsStatsigDatabricksClaude CodeCodex

Industry Keywords

Acquisition MarketingB2BSaaSAI-Native Consumer ProductsFast-Growing Startup

Tech Stack

Tools & technologies

About the role

Key responsibilities & impact

Partner directly with Acquisition Marketing to improve paid and organic channel effectiveness
Shape channel strategy, budget allocation, prioritization, and roadmap decisions using data
Define and own acquisition metrics including LTV/CAC, new user growth, lifetime value, and web conversion rates
Design and run incrementality tests across Google, Meta, and YouTube
Identify new user growth opportunities through budget reinvestment, new acquisition sources, international expansion, and website optimization
Partner with Acquisition, Engineering, Design, User Research, and Finance teams on acquisition-channel optimization roadmaps
Craft data-driven narratives and recommendations to improve ad-channel efficiency and drive user growth
Serve as the embedded data science partner for the Superhuman Acquisition Marketing team across products including Grammarly, Mail, Docs, Databases, GPTZero, Fathom, and Go

Requirements

What you’ll need

7+ years of data science experience
Advanced expertise in experimentation and causal inference
Experience designing incrementality tests and translating results into acquisition investment decisions
Ability to develop marketing mix and budget allocation models
Strong applied statistics and machine learning skills
Ability to influence cross-functional partners and translate technical insights into action
Self-starting, creative problem-solver who thrives with ambiguity
Comfortable using AI-assisted development tools such as Claude Code or Codex, with judgment to validate and supervise their output
Bachelor’s degree in a quantitative field such as statistics, mathematics, economics, computer science, or data science
Familiarity with ad platforms across Google, Meta, and YouTube
Experience with SEO, AEO, and organic acquisition channels
Familiarity with experimentation platforms such as Statsig and modern data stacks such as Databricks
Experience at a fast-growing startup, on AI-native consumer products, and/or in B2B/SaaS is a plus
Must be authorized to be employed in the United States

Benefits

Comp & perks

Excellent health care, including 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 days of paid holidays per year
Two floating holidays per year
Flexible sick time
Caregiving stipend
Pet care stipend
Wellness stipend
Home office stipend
Annual professional development budget and opportunities
Equity