Note: The job is a remote job and is open to candidates in USA. Superhuman is hiring a Data Scientist for its Mail business unit. The role partners with product and cross-functional teams to guide strategy and roadmap decisions, define product metrics, design experiments, and measure the impact of AI features and growth initiatives.
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
- You have 5+ years of data science experience and a track record of driving measurable impact for business and customers
- You have deep expertise in experimentation and causal inference. You're fluent in A/B testing as well as quasi-experimental and observational methods, and you know when to use each
- You're fluent in Python and SQL, with strong data exploration and manipulation skills
- You have strong applied statistics skills and machine learning skills, and you use them to drive product and growth decisions
- You can translate ambiguous business questions into sound experimental designs, measurement plans, and metrics
- You influence cross-functional partners and turn technical insight into action through clear communication, empathetic building, and openness to ideas from anywhere
- You're a self-starting, creative problem-solver who distills problems to their core and thrives with ambiguity
- You have a bachelor's degree in a quantitative field (statistics, mathematics, economics, computer science, data science, or a similar field)
- Equivalent practical experience is preferred
- You have experience working at a fast-growing startup, on AI-native consumer products, and/or in B2B/SaaS
- You've been a strategic thought partner to product, growth, or business leaders, driving data-driven decisions
- You've evaluated the quality of AI, LLM, or agentic products hands-on
- You're comfortable using AI-assisted development tools like Claude Code or Codex to move faster, and you have the judgment to validate and supervise their output
- You're familiar with experimentation platforms such as Statsig and modern data stacks such as Databricks
- You have experience with product-led growth and/or lifecycle and marketing analytics
- You've helped data science teams establish the methods, standards, and processes they use to collaborate
- An advanced degree
Benefits
- Remote-flexible work model
- A hybrid setup is available for those based in San Francisco, New York City, or Seattle.
- Excellent health care, including a wide range of 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, and flexible sick time
- Generous stipends, including those for caregiving, pet care, wellness, your home office, and more
- Annual professional development budget and opportunities
Company Overview
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