Data Scientist, Mail

Superhuman

. Serve as the embedded data science partner for the Mail core product team .

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSenior💰 $202,000 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science with a focus on experimentation, causal inference, and metrics development. Proficient in translating complex business questions into actionable insights and measurement strategies while collaborating effectively across teams.

Highest-signal resume keywords

Data Science ExperienceA/B TestingPythonSQLApplied Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ExperimentationCausal InferenceData ExplorationData ManipulationMachine LearningMeasurement FrameworksBehavioral MetricsFeature Engagement AnalysisActivation MetricsRetention Metrics

Soft Skills

Creative Problem-SolvingClear CommunicationInfluencing Cross-Functional PartnersSelf-StartingThriving with Ambiguity

Tools & Technologies

StatsigDatabricksAI-Assisted Development ToolsClaude CodeCodex

Industry Keywords

AI-Native Consumer ProductsB2BSaaSProduct-Led GrowthLifecycle Analytics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as the embedded data science partner for the Mail core product team
Shape feature strategy, prioritization, and roadmap decisions using evidence
Define and own Mail metrics, including activation, engagement, retention, and feature-impact indicators
Design and run experiments across onboarding, activation, and long-term habit formation
Build measurement frameworks that separate signal from noise
Shape measurement strategy for Mail AI features including Auto Drafts, Auto Labels, Auto Archive, Calendar, MCP, and agentic capabilities
Define quality frameworks and behavioral metrics for AI features
Analyze feature engagement, activation sequences, power-user behavior, and funnel opportunities
Identify and quantify levers that turn individual users into team expansions
Surface product signals predicting conversion and churn
Use behavioral insights to improve onboarding, feature discovery, and engagement nudges
Analyze how Calendar scheduling and MCP-driven workflows affect user behavior
Communicate findings to product managers, designers, engineers, and executives through experiment readouts and strategic deep-dives
Collaborate with product managers, engineers, designers, ML engineers, and the Experimentation team using Statsig

Requirements

What you’ll need

5+ years of data science experience
Track record of driving measurable impact for business and customers
Deep expertise in experimentation and causal inference
Fluency in A/B testing, quasi-experimental methods, and observational methods
Fluency in Python and SQL
Strong data exploration and manipulation skills
Strong applied statistics and machine learning skills
Ability to translate ambiguous business questions into experimental designs, measurement plans, and metrics
Ability to influence cross-functional partners and turn technical insight into action through clear communication
Self-starting, creative problem-solving, and ability to thrive with ambiguity
Bachelor's degree in a quantitative field such as statistics, mathematics, economics, computer science, or data science
Advanced degree or equivalent practical experience preferred
Nice to have: experience at a fast-growing startup, AI-native consumer products, and/or B2B/SaaS
Nice to have: strategic partnership with product, growth, or business leaders
Nice to have: hands-on evaluation of AI, LLM, or agentic products
Nice to have: familiarity with AI-assisted development tools such as Claude Code or Codex
Nice to have: familiarity with experimentation platforms such as Statsig and modern data stacks such as Databricks
Nice to have: product-led growth and/or lifecycle and marketing analytics experience
Nice to have: experience establishing data science team methods, standards, and processes

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
Professional development opportunities
Remote-flexible working model
Hybrid setup available for those based in San Francisco, New York City, or Seattle