# Data Scientist

**Company:** [Replit](https://hotfix.jobs/companies/replit)
**Location:** Foster City, CA
**Role:** Data Science
**Salary:** $150k – $250k/yr
**Experience:** 6+ years
**Skills:** SQL, Python, pandas, scikit-learn, dbt, BigQuery, Snowflake, Looker, LLMs, A/B Testing, ETL, Tableau, Google Analytics, Segment
**Posted:** 2026-03-25

> Builds analytics and AI-powered intelligence across marketing, customer signals, and support data to optimize growth, retention, and revenue. Requires 6+ years in data science focused on marketing/growth analytics, strong SQL/Python skills, and experience with LLMs for automation.

## Job Description

## Responsibilities
- Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS
- Build multi-touch attribution and marketing mix models to understand what's driving growth
- Synthesize customer signals — support tickets, social, reviews, CSAT — into automated intelligence that reaches the teams who need it
- Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies
- Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions
- Build the analytical foundation for Voice of the Customer — connecting qualitative feedback signals to quantitative behavior data at scale
- Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities
- Optimize automation and deflection to reduce support load and improve self-serve resolution rates
- Build the measurement foundation to fully optimize ROI across all support activities
- Use LLMs and agentic workflows to analyze unstructured data at scale and automate recurring analysis
- Create automated reporting that put key metrics to inform the company

## Required Skills and Experience
- 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
- Strong SQL skills and experience with large-scale event-level user behavior data; experience designing ETL workflows using dbt
- Proficiency in Python and data science libraries (**pandas**, **scikit-learn**, **statsmodels**, etc.)
- Experience designing and analyzing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
- Experience building dashboards and visualizations (**Hex**, **Looker**, **Tableau**, **Mode**, or similar) — ideally automating them
- Demonstrated experience using LLMs/AI tools in analytics workflows — not just prompting, but building automated systems
- Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams

## Preferred Qualifications
- Experience with modern data stack (**dbt**, **BigQuery**, **Snowflake**, **Fivetran**, **Segment**, etc.)
- Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company
- Experience with marketing technology platforms (**Google Analytics**, **Segment**, **Iterable**, **Salesforce**)
- Experience with attribution modeling, marketing mix modeling, or incrementality testing
- Experience analyzing unstructured customer data (support tickets, reviews, social mentions) using NLP or LLM-based approaches
- Understanding of PLG motions and self-serve conversion funnels
- Experience with support analytics, CSAT analysis, or customer experience measurement

## Bonus Points
- Experience analyzing freemium or usage-based pricing models
- Understanding of developer tools, collaborative coding environments, or technical products
- Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)
- Experience building AI agents or automated analytical pipelines using LLM APIs

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