Data Scientist, Growth

Replit; Foster City (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) Program with a 4% match (US)

Health, Dental, Vision and Life Ins.

Short/Long Term Disability

Paid Parental, Medical, CaregiverLeave

Flexible Time Off (FTO) + Holidays

Commuter Benefits (In-Office & US Only

Monthly Wellness Stipend

Autonomous Work Environment

In Office Set-Up Reimbursement

Quarterly Team Gatherings

In Office Amenities

Job summary

Replit is seeking a founding data scientist for its Growth team in Foster City, CA. You will own data science for major growth areas, partnering with PMs and engineers from problem framing through launch and readout.

You will design experiments and metrics with rapid decision cycles to bridge short readouts and long-term retention impact. You’ll help establish experimentation standards across high-traffic surfaces, using quasi-experimental designs when randomization isn’t feasible and shaping

Qualifications

• 6+ years in data science, with growth/experimentation focus.
• Startup-style metrics, datasets, and experimentation practices.
• Expert in experimental design and statistical inference.
• Experience establishing experimentation standards or platforms.

Responsibilities

• Own data science for major growth areas from framing to launch and readout.
• Design fast, trustworthy experiments and metrics (e.g., CUPED, sequential testing).
• Set experimentation standards for high-traffic surfaces; define checks and guardrails.
• Apply quasi-experimental designs when randomization isn’t feasible (DID, synthetic control).
• Shape data science for personalization and recommendations; measure incremental lift.
• Model the economics of freemium and usage-based products (credit consumption, pricing).
• Develop user and project segmentation from behavioral signals (embeddings, clustering).
• Collaborate with Data Engineering on shared metrics layer and tooling.

Skills

SQL

Python

Experiment design

Statistical inference

AI tools

Growth analytics

Executive influence

Tools

dbt

Job description

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the Role

You’ll be one of the founding data scientist on Replit’s Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how Replit experiments.

This role is for someone who doesn’t wait to be asked. You spot problems and opportunities before anyone else does, bring a strong point of view, and push it until it changes what we build.

You will:

• Own data science for major growth areas, partnering with PMs and engineers from problem framing and sizing through launch and readout
• Make fast decisions trustworthy: we ship weekly and need a decision within days, but retention takes weeks to show up. You’ll design the experiments and metrics that close that gap; for example, variance reduction (CUPED), sequential testing, and short-term proxy metrics validated against long-term retention and revenue
• Help set the experimentation standards teams rely on for Replit’s highest-traffic surfaces: how metrics and guardrails are defined, and the checks that catch a broken test before it misleads anyone
• Use quasi-experimental designs (difference-in-differences, synthetic control, regression discontinuity) where randomization isn’t feasible, such as pricing changes and regional launches
• Help define the data science behind an emerging personalization and recommendations workstream: problem framing, offline and online evaluation, and measuring incremental lift
• Model the economics of a freemium, usage-based product: credit consumption, conversion, and how pricing and limits change behavior
• Develop user and project segmentation from behavioral and content signals (e.g., embeddings and clustering) so growth analysis reflects what people are actually building
• Partner with Data Engineering on a shared metrics layer and experimentation tooling

Required Skills and Experience

• 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

Preferred Qualifications

• Comfortable building your own datasets in dbt;
• 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

This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

• 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)

Want to learn more about what we are up to?

• Self-driving Company
• Replit Agent at Scale
• AI Adoption
• Build Open-Source Apps

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.