Grammarly
Data Scientist, Mail
$202K–$275K
Hub - San Francisco +2 · Hybrid · Full-time · Posted Oct 21, 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; an advanced degree or equivalent practical experience is preferred.
About the job
Partners with the Superhuman Mail team to guide product strategy and growth through experimentation, metrics, and analysis of user behavior and AI features.
What you'll do
- Define Mail product metrics and design experiments across activation, engagement, and retention.
- Develop measurement frameworks for Mail’s AI features and assess their effect on user effectiveness.
- Translate analysis into product and growth recommendations, communicating findings to cross-functional partners.
What they ask for
- 7+ years of data science experience with measurable business and customer impact.
- Expertise in experimentation and causal inference, including A/B testing and quasi-experimental and observational methods.
- Fluency in Python and SQL, with strong applied statistics and machine learning skills.
- Bachelor’s degree in a quantitative field, such as statistics, mathematics, economics, computer science, or data science.
Nice to have
- Experience with fast-growing startups, AI-native consumer products, and/or B2B/SaaS; hands-on evaluation of AI, LLM, or agentic products.
- Familiarity with Statsig, Databricks, AI-assisted development tools, or product-led growth and lifecycle analytics.
Pay
$202K – $275K USD base salary
Tools
Python, SQL, Statsig, Databricks, Claude Code, Codex, MCP
AI focus
Develop measurement strategies and quality frameworks for Mail AI features, including Auto Drafts, Auto Labels, Auto Archive, Calendar, MCP, and agentic capabilities; assess whether they make users faster and more effective.
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