Data Scientist, People

About the role

At Replit, we're building an AI-native company — and that includes how we operate internally. We're looking for a Data Scientist, People to help us build the intelligence systems behind hiring, compensation, performance, organizational design, and workforce planning.

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.
• Example: a regretted attrition model that flags at-risk employees 90 days in advance and surfaces the underlying signals directly into manager 1:1 prep.
• 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.
• Analyze organizational effectiveness, including spans and layers, talent density, and hiring efficiency.
• Identify where the org is over-leveled, under-leveled, or structurally inefficient.
• 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, not on a quarterly schedule.
• Support high-stakes organizational and talent decisions with rigorous analysis, including executive hiring, retention, and reorganizations.

Requirements

• 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
• 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
• Able to communicate complex insights clearly to executives and cross-functional partners
• High ownership mindset and comfort operating in fast-moving environments
• Able to handle highly sensitive organizational and compensation data with discretion

Qualifications

• 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

Skills

• Experience with NLP or unstructured text analysis
• Interest in the future of AI-native organizations and how AI changes the way companies operate

Bonus Points

• Experience building on Replit

Full-Time Employee Benefits

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