Data Scientist

📋 Description

• Define north-star and feature metrics for ranking, analytics, and payouts.
• Design/run A/B tests and quasi-experiments; convert results to product decisions quickly.
• Build dashboards and data models for self-serve answers.
• Instrument events with engineers; improve data quality and latency.
• Prototype quick models (baselines to gradient boosting) to improve matching.
• Help evaluate LLM-powered agents: rubrics, human-in-the-loop studies, guardrails.

🎯 Requirements

• 0–2 years in data science/analytics; BS/BA in quantitative field.
• Strong SQL; Python for analysis; comfortable with experiment design.
• Clear communication with engineers, PMs, and leadership; turns analysis into action.
• Nice-to-haves: dbt, dashboards (Hex/Mode/Looker), LLM evaluation.

🎁 Benefits

• Bi-annual performance bonus
• Generous equity grant vested over 4 years
• Up to $15k relocation bonus
• $10k housing bonus near office
• $1.5k monthly meals stipend
• Free Equinox membership
• $200 monthly laundry reimbursement
• $200 monthly wellness reimbursement
• Health, Dental, Vision insurance