Lead Data Scientist, Customer & Growth Analytics
Core
Design, build, and maintain predictive models (propensity-to-upgrade, engagement scoring) to identify customers likely to expand into AI legal solutions like CoCounsel.
Role type
Lead Data Scientist (Customer & Growth Analytics)
Builds
Production-ready predictive models and features embedded in the Customer Data Platform (Treasure Data) for marketing activation.
Domain
B2B SaaS / Legal Technology / Customer Growth
Deliverable
production ML models
Required skills
predictive modeling, classification models, feature engineering, Python, large-scale dataset analysis, model validation, statistical analysis, business metric interpretation
Preferred skills
Treasure Data platform experience, experimentation design
Technologies
Python, Treasure Data
Responsibilities
Design and maintain propensity-to-upgrade and engagement scoring models; Develop features and datasets from product usage and campaign data; Partner with Marketing to translate model outputs into actionable segments; Validate and monitor model performance for accuracy and explainability; Support experimentation by defining success metrics and analyzing lift; Document modeling approaches and outputs for transparency.
Seniority
Senior, hands-on IC
