Data Scientist, People
Remote • Foster City, CA • FullTime
Posted 2mo ago
About the job
Replit is seeking a Data Scientist, People to join their AI-native company. This role focuses on building intelligence systems for hiring, compensation, performance, organizational design, and workforce planning, moving beyond traditional People Analytics to leverage AI and automation for faster, better talent decisions at scale. You will collaborate across HR, Recruiting, Finance, and Data Engineering to develop models, tools, and workflows that enhance how the company attracts, rewards, retains, and organizes talent, reporting into Data Science and partnering with People leadership.
Responsibilities
- Build the analytical foundation to evaluate compensation competitiveness, integrating offer data, band positions, acceptance rates, and market benchmarks into a recommendation system.
- Develop predictive models and tooling to aid managers and recruiters in making faster, better decisions, such as a regretted attrition model that flags at-risk employees.
- Design and deploy AI agents to generate initial recommendations for critical People decisions like compensation, promotions, and hiring, for leadership review.
- Construct the recruiting analytics layer to link sourcing channels to hiring speed, performance, and tenure, optimizing recruiting spend and providing weekly insights.
- Analyze organizational effectiveness, including spans, layers, talent density, and hiring efficiency, to identify structural inefficiencies.
- Partner with Finance to transition from spreadsheets to a live workforce model incorporating attrition, hiring velocity, and ramp time.
- Utilize LLMs and agentic workflows to analyze unstructured People data at scale, including support tickets, exit interviews, and performance reviews.
- Replace recurring reporting with always-on agents that proactively surface insights to leaders.
- Support high-stakes organizational and talent decisions with rigorous analysis, including executive hiring and reorganizations.
Requirements
- Minimum 6 years of experience, targeting Senior or Staff Data Scientist level.
- 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.
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
- Commuter Benefits (In-Office Only)
- Monthly Wellness Stipend
- Autonomous Work Environment
- In Office Set-Up Reimbursement (In-Office Only)
- Quarterly Team Gatherings
- In Office Amenities (In-Office Only)