Data Scientist, Enterprise Analytics
Core
Strategic data scientist partnering with Sales, Revenue Ops, and Finance to define go-to-market performance metrics, forecast outcomes, and drive business growth decisions.
Role type
Senior IC data scientist (GTM analytics & ML)
Builds
Production ML models (propensity, PQL, churn, expansion), agentic workflows for analysis, and company-level reporting dashboards
Domain
SaaS / B2C Enterprise Analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical modeling, machine learning, experimentation (A/B testing, causal inference), SQL (Snowflake), Python (pandas, scikit-learn, XGBoost), agentic workflows with AI coding agents, MLOps
Preferred skills
Experience in B2C company metrics (Consumption, CRR, ARR, Churn), building agentic workflows with AI coding agents
Technologies
Snowflake, Looker, Tableau, Hex, MLflow, CI/CD for ML pipelines, Jupyter, LightGBM
Responsibilities
Perform exploratory data analysis to uncover behavioral trends and key drivers; Build and productionize ML models using MLOps practices; Design, run, and evaluate growth experiments (A/B tests); Build and operationalize agentic workflows for analysis and pipeline automation; Contribute to the Semantic Layer for self-serve metrics; Write production-grade Python and SQL
Seniority
Mid-Senior, hands-on IC
