Analytics & Data Science Leader

About the role

We're looking for an Analytics Leader to own the entire data and analytics function at one of the fastest-scaling AI platforms in the world. You'll define what we measure, how we measure it, and how data drives every major decision across product, growth, finance, and leadership. This is a player-coach role.

What you'll do

• Own the company-wide data science and analytics strategy: define the metrics framework, predictive models, north-star KPIs, and reporting cadence used by leadership
• Build, hire, and lead the data science and analytics team, setting the bar for rigor, speed, and self-serve enablement across the company
• Own subscription and revenue analytics end-to-end: MRR, churn, cohort retention, LTV/CAC, conversion funnels, and usage-based billing models
• Lead applied data science initiatives: churn and LTV prediction, propensity and conversion models, forecasting, anomaly detection
• Architect and govern the modern data stack (BigQuery, PostgreSQL, event pipelines), partnering with engineering on data quality, schema design, and pipeline reliability

What you need

• Analytics
• Machine learning
• SQL
• BigQuery
• Statistics
• dbt

Good to have

• Python
• Pandas
• Scikit-learn
• MLOps
• PostgreSQL
• Lean