Replit

Replit

Data Scientist, People

Foster City, CA · Staff+ · Full-time

Sponsorship not specifiedDetected 63 days ago
PythonSQLBigQuerySnowflakedbtData EngineeringData ScienceNLPLLMsAgentic AIA/B TestingPerformance ManagementLeadership

About the role

  • This is not a traditional People Analytics role focused on dashboards and reporting.
  • We want someone who can use data, AI, and automation to help the company make faster and better talent decisions at scale.
  • Connect Ashby offer data, band position, acceptance rates, and market benchmarks into a live system that recommends specific adjustments.

Responsibilities

  • Build the analytical foundation to evaluate compensation competitiveness. Connect 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.
  • Design and deploy AI agents that draft first-pass recommendations for high-stakes People decisions, including compensation, promotion, and hiring. People leaders review and adjust rather than starting from scratch.
  • Build the recruiting analytics layer that connects sourcing channel to time-to-hire to first-year performance to tenure. Use it to reallocate recruiting spend and surface weekly insights to recruiting leadership.
  • 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.
  • Support high-stakes organizational and talent decisions with rigorous analysis, including executive hiring, retention, and reorganizations.
  • Build the analytical foundation to evaluate compensation competitiveness.
  • Design and deploy AI agents that draft first-pass recommendations for high-stakes People decisions, including compensation, promotion, and hiring.

Requirements

  • Minimum 6 years of experience.

Nice to have

  • Experience at a high-growth or AI-native company
  • Experience with modern data stack tools (dbt, BigQuery, Snowflake, etc.)
  • Experience with People systems such as Rippling, Ashby, Lattice, or Carta
  • Experience with NLP or unstructured text analysis
  • Interest in the future of AI-native organizations and how AI changes the way companies operate
  • Meet the Replit Agent https://www.youtube.com/watch?v=IYiVPrxY8-Y
  • This is a full-time role that can be held from our Foster City, CA office.
  • The role has an in-office requirement of Monday, Wednesday, and Friday.

Skills

  • Minimum 6 years of experience. Targeting Senior or Staff Data Scientist depending on demonstrated scope and impact.
  • Experience in People Analytics, compensation analytics, or workforce analytics
  • Strong SQL and Python skills
  • 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
  • High ownership mindset and comfort operating in fast-moving environments
  • Ability to handle highly sensitive organizational and compensation data with discretion

Compensation

  • We're looking for a Data Scientist, People to help us build the intelligence systems behind hiring, compensation, performance, organizational design, and workforce planning.

Company info

  • Replit Blog https://blog.replit.com/
  • Amjad TED Talk https://youtu.be/kCudFI4tcpg?si=l4ViCejV_f2RZkDi
  • Operating Principles https://blog.replit.com/operating-principles
  • Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
  • At https://replit.com?utm_source=chatgpt.comReplit, we're building an AI-native company - and that includes how we operate internally.
  • This is not a traditional People Analytics role focused on dashboards and reporting. We want someone who can use data, AI, and automation to help the company make faster and better talent decisions at scale.
  • Replit is the agentic software creation platform that enables anyone to build applications using natural language.
  • We're looking for a Data Scientist, People to help us build the intelligence systems behind hiring, compensation, performance, organizational design, and workforce planning.

This listing is sourced directly from Replit's careers page and normalized into a canonical job model.