# Data Scientist, People

**Company:** [Replit](https://hotfix.jobs/companies/replit)
**Location:** Foster City, CA
**Role:** Data Science
**Salary:** $210k – $350k/yr
**Experience:** 6+ years
**Skills:** SQL, Python, Predictive Modeling, Causal Inference, A/B Testing, Large-Scale Data Analysis, LLMs, AI Agents, NLP, Data Visualization
**Posted:** 2026-05-19

> Build AI-powered analytics systems for hiring, compensation, performance, and workforce planning at an AI-native company. Partner across HR, Recruiting, and Finance to create predictive models, AI agents, and automated workflows that improve talent decisions.

## Job Description

## Responsibilities
- Build the analytical foundation to evaluate compensation competitiveness by connecting Ashby offer data, band position, acceptance rates, and market benchmarks into a live system that recommends specific adjustments
- Develop predictive models and tooling that help managers and recruiters make better decisions faster (e.g., regretted attrition model that flags at-risk employees 90 days in advance)
- Design and deploy AI agents that draft first-pass recommendations for high-stakes People decisions, including compensation, promotion, and hiring
- Build the recruiting analytics layer that connects sourcing channel to time-to-hire to first-year performance to tenure, and use it to reallocate recruiting spend
- Analyze organizational effectiveness, including spans and layers, talent density, and hiring efficiency
- Partner with Finance to move from spreadsheets to live workforce model that accounts for attrition, hiring velocity, and ramp time by function
- Use LLMs and agentic workflows to analyze unstructured People data at scale, including support tickets, exit interviews, performance reviews, and engagement survey responses
- Replace recurring reporting cycles with always-on agents that surface insights to leaders when they need them
- Support high-stakes organizational and talent decisions with rigorous analysis, including executive hiring, retention, and reorganizations

## Requirements
- Minimum 6 years of experience
- Experience in People Analytics, compensation analytics, or workforce analytics
- Strong SQL and Python skills
- Experience building predictive models and analytical frameworks for business decision-making
- Strong statistical foundation, including experimentation and causal inference
- Experience working with large-scale operational or behavioral datasets
- Demonstrated experience using AI and LLMs in analytics workflows
- Ability to communicate complex insights clearly to executives and cross-functional partners
- High ownership mindset and comfort operating in fast-moving environments
- Ability to handle highly sensitive organizational and compensation data with discretion

## Nice-to-Haves
- Experience at a high-growth or AI-native company
- Experience building internal tools, agents, or automated workflows
- Familiarity with organizational design, compensation, or talent management concepts
- Experience with modern data stack tools (dbt, BigQuery, Snowflake, etc.)
- Experience with People systems such as Rippling, Ashby, Lattice, or Carta
- Experience building on Replit
- Experience with NLP or unstructured text analysis

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