Sr Principal Data Scientist
Core
Setting technical direction for ML models and AI sub-agents driving growth, monetization, efficiency, and retention across the customer lifecycle.
Role type
Sr Principal Data Scientist (Strategy & Architecture)
Builds
ML models and AI sub-agents for SaaS customer lifecycle management
Domain
SaaS / Applied Machine Learning / Agentic AI
Deliverable
production ML models
Required skills
Applied ML (gradient boosting, transformers, causal ML, offline RL), Agentic AI architecture, Causal inference, Statistics & experimental design, Production ML operations, SQL, Python, SaaS metrics fluency
Preferred skills
Advanced degree in quantitative field, Experience leading lifecycle modeling work, Ability to mentor staff and principal data scientists
Technologies
Spark, Databricks, Snowflake, PyTorch, scikit-learn, XGBoost, LightGBM, Tableau
Responsibilities
Set technical direction for applied ML and agentic AI, Architect systems for sub-agents, Define modeling and evaluation standards, Personally ship high-leverage models, Drive technical decisions on data foundations, Partner with senior leaders on strategy, Mentor data science team
Seniority
Sr Principal, hands-on IC with mentorship
