Data Scientist, Growth

Replit is hiring a founding Data Scientist to lead data science initiatives on the Growth team, covering acquisition, activation, and recommender systems. The role is centered on enabling fast, trustworthy decisions through rigorous experimentation and careful evaluation methods.

Role Overview

As a Data Scientist on the Growth team, you will own key data science work across major growth areas, from problem framing and sizing through launch and readout. You will also shape experimentation standards and build evaluation approaches that connect short-term signals to longer-term outcomes such as retention and revenue.

Key Responsibilities

• Own data science for major growth areas by partnering with PMs and engineers across the full lifecycle: problem framing, sizing, launch execution, and readout.
• Design experiments and metrics that make fast decisions trustworthy, including methods for variance reduction and sequential testing, and short-term proxy metrics validated against long-term retention and revenue.
• Help establish experimentation standards for high-traffic surfaces, including metric and guardrail definitions and checks to detect broken tests before they impact decisions.
• Apply quasi-experimental methods when randomization is not feasible, such as difference-in-differences, synthetic control, and regression discontinuity for cases like pricing changes and regional launches.
• Develop the data science foundation for personalization and recommendations work, including offline and online evaluation and measurement of incremental lift.
• Model freemium economics in a usage-based product context, focusing on credit consumption, conversion, and behavior changes driven by pricing and limits.
• Build user and project segmentation using behavioral and content signals, including embeddings and clustering, to ensure growth analysis reflects how people are building.
• Partner with Data Engineering on a shared metrics layer and experimentation tooling.

Required Qualifications

• 6+ years in data science, including substantial experience in growth or experimentation for high-scale prosumer, PLG, or self-serve products.
• Experience in a fast-growing startup environment, building metrics, datasets, and experimentation practices with limited existing infrastructure.
• Strong experimental design and statistical inference skills, including delivering reliable decisions with short readout windows and slow outcomes.
• Experience creating experimentation standards or platforms adopted by multiple teams.
• Expert-level SQL and Python.
• A track record where your analysis influenced what a team shipped, along with experience influencing senior Product and Engineering leaders.
• Practical, heavy use of AI tools to accelerate your own work.

Technologies

• SQL
• Python
• dbt

Preferred Qualifications

• Comfort building your own datasets in dbt.
• Experience with pricing, packaging, or monetization analysis for usage- or credit-based products.
• International or mobile growth experience.
• MS or PhD in statistics, economics, computer science, or another quantitative field.

Bonus Points

• Experience with multi-armed bandits or adaptive experimentation.
• Familiarity with developer tools, AI products, or creator platforms.

Compensation and Location

• Location: Foster City, CA (onsite)
• Employment: Full-time role with an in-office requirement of Monday, Wednesday, and Friday
• Compensation Range: USD 250,000 - 327,000 per year

Benefits

• 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)