Data Scientist - AI Propensity Modeling
Core
Build and operationalize machine learning models for lead scoring and propensity-to-buy to support go-to-market strategy and sales prioritization.
Role type
Senior IC data scientist (propensity modeling)
Builds
Production ML models for lead scoring and customer propensity
Domain
SaaS go-to-market, sales, and marketing analytics
Deliverable
production ML models
Required skills
Python, SQL, machine learning (classification, regression, clustering), propensity-to-buy modeling, data profiling, model validation
Preferred skills
Large language models (LLM), SaaS go-to-market metrics, pipeline generation, SDR workflows, customer success, product usage analysis
Technologies
Snowflake, Redshift, BigQuery, Jupyter, scikit-learn, pandas, Snowflake Cortex
Responsibilities
Partner with sales, marketing, and customer success teams to define analytical goals; build and analyze ML models for lead scoring and propensity; develop in Jupyter Notebooks using advanced SQL; improve and operationalize existing models; assess data quality and profile unfamiliar datasets; create business and technical deliverables; present findings and translate predictions into business actions.
Seniority
Senior, hands-on IC
