# Data Scientist, People

**Company**: Replit
**Location**: Foster City, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $210K - $350K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q60768699

**Apply**: https://jobs.ashbyhq.com/replit/5841bc76-5657-46c2-942e-0860f02ea3ec?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_74dcfc6a-f8f

## Description

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

You'll work across HR, Recruiting, Finance, and Data Engineering to build models, tools, and workflows that improve how the company hires, rewards, retains, and organises talent. You'll report into Data Science and partner closely with the People leadership team.

Key responsibilities include:

- Building the analytical foundation to evaluate compensation competitiveness

- Developing predictive models and tooling that help managers and recruiters make better decisions faster

- Designing and deploying AI agents that draft first-pass recommendations for high-stakes People decisions

- Building the recruiting analytics layer that connects sourcing channel to time-to-hire to first-year performance to tenure

- Analysing organisational effectiveness, including spans and layers, talent density, and hiring efficiency

- Partnering with Finance to move from spreadsheets to live workforce model that accounts for attrition, hiring velocity, and ramp time by function

- Using LLMs and agentic workflows to analyse unstructured People data at scale

- Replacing recurring reporting cycles with always-on agents that surface insights to leaders when they need them, not on a quarterly schedule

Requirements include:

- 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 behavioural 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 organisational and compensation data with discretion

## Skills

### Required
- SQL
- Python
- Predictive modelling
- Analytical frameworks
- Statistical foundation
- AI
- LLMs
- Data engineering
- People analytics

### Nice to have
- Experience at a high-growth or AI-native company
- Experience building internal tools, agents, or automated workflows
- Familiarity with organisational 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

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/replit/5841bc76-5657-46c2-942e-0860f02ea3ec?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)