Sr. Data Scientist II (Remote Eligible)
Core
Building ML models and AI sub-agents to drive growth, monetization, efficiency, and retention across the customer lifecycle for millions of users.
Role type
Senior IC machine-learning engineer (AI agents & lifecycle modeling)
Builds
AI sub-agents, predictive/prescriptive models, and data foundations for customer lifecycle management
Domain
SaaS / Business Intelligence / Customer Lifecycle
Deliverable
production ML models
Required skills
gradient boosting, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, offline RL, causal inference, uplift modeling, difference-in-differences, propensity scoring, synthetic control, hypothesis testing, power analysis, sequential testing, SQL, Python, Spark, Databricks, Snowflake, PyTorch, scikit-learn, XGBoost, LightGBM, Tableau
Preferred skills
advanced degree in quantitative field, experience modeling customer lifecycle metrics (NRR, GRR, ARR, cohort economics)
Technologies
Spark, Databricks, Snowflake, PyTorch, scikit-learn, XGBoost, LightGBM, Tableau
Responsibilities
Design and ship AI sub-agents combining predictive models and LLM reasoning; build predictive and prescriptive models for churn, growth, and adoption; develop data foundations and knowledge layers; design retrieval and grounding strategies for sub-agents; build evaluation harnesses for sub-agent performance; define metrics and experimentation strategies for rollouts; mentor other data scientists
Seniority
Senior, hands-on IC
