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Data Scientist, People

Replit, Inc.

Job Overview

Location

Foster City, CA

Job Type

Full-time

Full Job Description

📋 Description

• Build analytical systems to evaluate compensation competitiveness by integrating Ashby offer data, band positions, acceptance rates, and market benchmarks into a live, automated recommendation engine.
• Develop predictive models to identify employees at risk of regretted attrition 90 days in advance, surfacing actionable signals directly into manager 1:1 prep tools.
• Design and deploy AI agents that generate first-pass recommendations for high-stakes People decisions—including compensation adjustments, promotions, and hiring—enabling leaders to review and refine rather than originate from scratch.
• Construct a recruiting analytics layer that links sourcing channels to time-to-hire, first-year performance, and tenure, enabling data-driven reallocation of recruiting spend and weekly insights for recruiting leadership.
• Analyze organizational effectiveness metrics including spans and layers, talent density, and hiring efficiency to identify structural inefficiencies, over-leveling, or under-leveling within the organization.
• Partner with Finance to replace static spreadsheets with a dynamic, live workforce model that incorporates attrition rates, hiring velocity, and ramp time by function.
• Leverage LLMs and agentic workflows to analyze unstructured People data at scale, including exit interviews, performance reviews, support tickets, and engagement survey responses.
• Replace quarterly reporting cycles with always-on AI agents that proactively surface timely insights to leaders based on real-time data, not scheduled updates.
• Support executive-level talent decisions—including hiring, retention strategies, and reorganizations—with rigorous, data-backed analysis and causal inference.
• Connect operational People data across HR, Recruiting, Finance, and Data Engineering to build end-to-end workflows that automate decision-making and reduce manual reporting.
• Use SQL and Python to extract, transform, and model large-scale behavioral and operational datasets from People systems to drive talent strategy.
• Implement statistical frameworks for experimentation and causal inference to validate the impact of People initiatives on business outcomes.
• Operate with high ownership in a fast-moving, AI-native environment, prioritizing automation, scalability, and impact over traditional analytics reporting.
• Handle highly sensitive compensation and organizational data with strict discretion and adherence to privacy protocols.
• Collaborate closely with People leadership and cross-functional partners to translate complex analytical insights into clear, actionable recommendations for executives.

🎯 Requirements

• Minimum 6 years of 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

🏖️ Benefits

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Skills & Technologies

Python

Data Science

Onsite

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Replit, Inc.

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About Replit, Inc.

Replit is an online, collaborative, integrated development environment (IDE) that allows users to write, run, and share code in numerous programming languages directly from their web browser. It provides a cloud-based platform, eliminating the need for local setup and dependencies. Replit supports real-time collaboration, enabling multiple users to code together simultaneously on the same project, making it ideal for educational purposes, team projects, and rapid prototyping. The platform offers a vast array of features including version control integration, package management, and deployment tools, democratizing software development for beginners and experienced programmers alike.

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