Data Scientist, Growth

Replit; United States; Remote; USD 180,000 - 230,000; 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)

Monthly Wellness Stipend

Autonomous Work Environment

In Office Setup Reimbursement (In-Home

Quarterly Team Gatherings

In Office Amenities

Job summary

Replit is seeking a founding data scientist for the Growth team, shaping data-driven decisions across acquisition, activation, and recommender systems. 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 with fast decision cycles, set metrics and guardrails, and apply quasi-experimental designs where needed to validate impact on retention and revenue.

Qualifications

• 6+ years in data science with growth/experimentation for high-scale prosumer, PLG, or self-serve products.
• Experience at a fast-growing startup building metrics, datasets, and experimentation practices without extensive infrastructure.
• Expert SQL and Python.
• Proven track record of influencing senior Product and Engineering leaders.
• Heavy, practical use of AI tools to move faster in your own work.

Responsibilities

• 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 close gaps between short-term readouts and long-term retention and revenue.
• Set experimentation standards and guardrails for high-traffic surfaces.
• Use quasi-experimental designs (diff-in-diff, synthetic control, regression discontinuity) where randomization isn’t feasible.
• Define the data science behind personalization and recommendations workstreams: framing, offline and online evaluation, measuring incremental lift.
• Model the economics of a freemium, usage-based product: credit consumption, conversion, pricing effects on behavior.
• Develop user and project segmentation from behavioral and content signals (embeddings, clustering).
• Partner with Data Engineering on a shared metrics layer and experimentation tooling.

Skills

SQL

Python

Experimental design

Statistics

Growth analytics

AI tooling

Experimentation leadership

Education

MS or PhD in statistics, economics, computer science, or another quantitative field

Tools

dbt

Job description

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

About the RoleYou'll be one of the founding data scientist on the company's Growth team, working with Product and Engineering leadership across acquisition, activation and recommender systems, and helping shape how the company 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 the company'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

• the company Agent at Scale

• AI Adoption

• Build Open-Source Apps

Interviewing + Culture at the company

• Operating Principles

• Reasons not to work at the company

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.