Lead Data Scientist
Core
Lead Data Scientist owning the intelligence layer for a nonprofit giving platform, designing causal experimentation systems, and building predictive models for donor lifetime value and retention.
Role type
Senior IC Lead Data Scientist (Causal Inference & Production ML)
Builds
Causal impact experiments, predictive models for donor lifetime value/retention, and AI/LLM evaluation frameworks.
Domain
Nonprofit fundraising / Data Science / Causal Inference
Deliverable
production ML models
Required skills
causal inference, A/B testing, randomized holdouts, uplift modeling, treatment-effect modeling, predictive modeling, time-series forecasting, advanced Python, SQL, scikit-learn, gradient boosting, production ML deployment, model monitoring, drift detection, AI tool usage (Claude Code, Cursor)
Preferred skills
Databricks, Data Vault 2.0, medallion lakehouse modeling, LLM and agent evaluation frameworks, nonprofit/fundraising/CRM domain knowledge
Technologies
Databricks, MLflow, Langfuse, Python, SQL, scikit-learn, Claude Code, Cursor
Responsibilities
Design and run experimentation systems to prove causal impact; build predictive and forecasting models for donor metrics; define and maintain model quality standards and evaluation frameworks; manage the full machine learning lifecycle in Databricks and MLflow; set technical direction for data science methods and tooling; partner with data engineering, AI engineering, and product teams; integrate AI tools into daily analysis and modeling workflows.
Seniority
Senior, hands-on IC with technical leadership
