Data Scientist, Growth

Replit

. Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout .

Posted 10/14/2026full-timeFoster City • California • United StatesMid-LevelSenior💰 $250,000 - $327,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science with a focus on experimental design, statistical inference, and metrics development for growth and personalization in high-scale products. Proficient in SQL and Python, with a strong background in building datasets and establishing experimentation standards.

Highest-signal resume keywords

Data Science ExperienceExperimental Design ExpertiseSQL ProficiencyPython ProficiencyAI Tools Utilization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Experimental DesignStatistical InferenceMetrics DevelopmentData AnalysisCUPEDDifference-In-DifferencesRegression DiscontinuityUser SegmentationIncremental-Lift MeasurementMulti-Armed Bandits

Soft Skills

Influencing Senior LeadersCollaboration with PMs and Engineers

Tools & Technologies

AI ToolsDbt

Certifications & Qualifications

MS in StatisticsPhD in StatisticsPhD in EconomicsPhD in Computer Science

Industry Keywords

Growth AreasExperimentation StandardsFreemium ProductsUsage-Based ProductsSelf-Serve ProductsMobile GrowthDeveloper ToolsCreator Platforms

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout
Design experiments and metrics that enable fast, trustworthy decisions despite delayed retention outcomes, including CUPED, sequential testing, and validated short-term proxy metrics
Help establish experimentation standards for Replit’s highest-traffic surfaces, including metric and guardrail definitions and checks for broken tests
Use quasi-experimental designs such as difference-in-differences, synthetic control, and regression discontinuity when randomization is not feasible
Help define data science for personalization and recommendations, including problem framing, offline and online evaluation, and incremental-lift measurement
Model the economics of a freemium, usage-based product, including credit consumption, conversion, pricing, and limits
Develop user and project segmentation from behavioral and content signals, including embeddings and clustering
Partner with Data Engineering on a shared metrics layer and experimentation tooling

Requirements

What you’ll need

6+ years in data science, with significant time on growth or experimentation for high-scale prosumer, PLG, or self-serve products
Data science experience at a fast-growing startup, where you built metrics, datasets, and experimentation practices without much existing infrastructure
Deep expertise in experimental design and statistical inference, including reaching reliable decisions when readout windows are short and the outcomes that matter are slow
Experience establishing experimentation standards or platforms adopted by multiple teams
Expert SQL and Python
A track record of analysis that changed what a team shipped, and of influencing senior Product and Engineering leaders
Heavy, practical use of AI tools to move faster in your own work
Comfortable building your own datasets in dbt (preferred)
Pricing, packaging, or monetization analysis for usage- or credit-based products (preferred)
International or mobile growth experience (preferred)
MS or PhD in statistics, economics, computer science, or another quantitative field (preferred)
Experience with multi-armed bandits or adaptive experimentation (bonus)
Familiarity with developer tools, AI products, or creator platforms (bonus)
Able to work from the Foster City, CA office three days per week
Legally authorized to work in the United States

Benefits

Comp & perks

Competitive Salary & Equity
401(k) Program with a 4% match (US Only)
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Flexible Time Off (FTO) + Holidays
Commuter Benefits (In-Office & US Only)
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement (In-Office Only)
Quarterly Team Gatherings
In Office Amenities (In-Office Only)