Grammarly
Data Scientist, Acquisition
$180K–$275K
Hub - San Francisco +2 · Hybrid · Full-time · Posted Oct 27, 2026
- Location
- Hub - San Francisco
Hub - New York
Hub - Seattle - Experience
- 7+ years of data science experience.
- Education
- Bachelor’s degree in a quantitative field; advanced degree or equivalent practical experience is preferred.
- Visa sponsorship
- The employer participates in the US federal E-Verify program.
About the job
Analyze acquisition performance across Superhuman’s products and turn data into recommendations for channel strategy, marketing spend, web conversion, and user growth.
What you'll do
- Define acquisition metrics and advise on channel strategy, budget allocation, and roadmap decisions.
- Design and run incrementality tests and develop models to assess channel effectiveness and optimize spend.
- Identify growth opportunities across acquisition sources, international expansion, and website optimization; communicate findings to cross-functional partners.
What they ask for
- 7+ years of data science experience with measurable business and customer impact.
- Advanced expertise in experimentation and causal inference, including incrementality testing.
- Demonstrated ability to develop marketing mix and budget allocation models.
- Strong applied statistics and machine learning skills. Bachelor’s degree in a quantitative field; advanced degree or equivalent practical experience preferred.
Nice to have
- Experience with SEO/AEO, organic acquisition, and ad platforms such as Google, Meta, and YouTube.
- Familiarity with Statsig or Databricks; experience at a fast-growing startup, with AI-native consumer products, or in B2B/SaaS.
Pay
$180K – $275K USD base salary
Tools
Google, Meta, YouTube, Claude Code, Codex, Statsig, Databricks
AI focus
Use AI-assisted development tools such as Claude Code or Codex to work faster, while validating and supervising their output.
Model-written summary · the original posting is authoritative