Data Scientist – Mail Growth & AI Insights (Remote)

Superhuman; San Francisco, New York, Seattle (CA, NY, WA); Hybrid; USD 202,000 - 275,000; Full time

Benefits offered by this job

Health care

Insurance

401(k) matching

Parental leave

PTO & holidays + floating holidays

Stipends for home office

Job summary

Superhuman is seeking a Data Scientist to join the Mail team, embedding analytics and experimentation into product decisions that move activation, engagement, and retention. You’ll partner with Engineering, Finance, RevOps, and UX Market Research to surface product-led insights and measure AI features like Auto Drafts and Auto Labels.

You will design experiments across the product lifecycle, define quality metrics, and communicate findings to executives, PMs, designers, and ML engineers to shape

Qualifications

• You have 5+ years of data science experience and a track record of driving measurable impact for business and customers.

Responsibilities

• Be the embedded data science partner for the Mail core product team — shaping feature strategy, prioritization, and roadmap decisions with evidence, not just fielding ad hoc requests.
• Define and own the metrics that matter for Mail: activation milestones, engagement depth, retention curves, and the leading indicators that tell us whether a new feature is actually changing how people work in their inbox.
• Design and run experiments across the Mail product lifecycle — from onboarding and first-week activation to long-term habit formation — and build the measurement frameworks that separate signal from noise.
• Shape the measurement strategy for Mail's AI features — Auto Drafts, Auto Labels, Auto Archive, Calendar, MCP, and the agentic capabilities on the roadmap — by defining quality frameworks and behavioral metrics that show whether AI is making users genuinely faster and more effective.
• Figure out what makes Mail sticky: which features drive the deepest engagement, what the activation sequence looks like for users who become power users, and where in the funnel we're leaving value on the table.
• Partner with product-led and sales-led growth to identify and quantify the levers that turn individual users into team expansions — and surface the product signals that predict conversion and churn.
• Use data to craft remarkable product moments — turning behavioral insight into smarter onboarding flows, better feature discovery, and engagement nudges that feel natural rather than forced. This includes understanding how features such as Calendar scheduling and MCP-driven workflows change the way users interact with Mail on a day-to-day basis.
• Communicate findings clearly to PMs, designers, engineers, and executives — from experiment readouts to strategic deep-dives — and help raise the bar on how the Mail team makes decisions with data.

Skills

Data science

Experimentation

Python

SQL

Statistics

Machine learning

Cross-functional collaboration

Communication

Education

Bachelor's degree in quantitative field

Tools

Statsig

Databricks

Claude Code

Codex

Job description

Superhuman is seeking a Data Scientist to join the Mail team, embedding analytics and experimentation into product decisions that move activation, engagement, and retention. You’ll partner with Engineering, Finance, RevOps, and UX Market Research to surface product-led insights and measure AI features like Auto Drafts and Auto Labels.

You will design experiments across the product lifecycle, define quality metrics, and communicate findings to executives, PMs, designers, and ML engineers to shape