Senior Data Scientist, Customer Analytics
Core
Develop predictive models and insights to measure business health, predict churn/expansion, and drive customer outcomes for a SaaS product.
Role type
Senior IC data scientist (customer analytics)
Builds
Predictive models, customer health scores, and actionable insights for product usage and lifecycle management
Domain
SaaS / Customer Success / Predictive Analytics
Deliverable
production ML models
Required skills
Python, R, SQL, predictive modeling (regression, classification, clustering), customer analytics concepts (churn, segmentation, cohort analysis), machine learning/AI techniques
Preferred skills
product usage/telemetry data analysis, SaaS business models, customer lifecycle metrics (retention, LTV), NLP, recommendation systems, data visualization tools
Technologies
Python, R, SQL, Tableau, Power BI
Responsibilities
Analyze product usage data to identify behavioral patterns and growth drivers; Develop predictive models for churn, retention, and expansion; Build customer health scores and predictive signals; Apply AI/ML techniques to enhance insights; Translate business questions into analytical frameworks; Partner with Customer Success and Product teams to improve engagement; Generate actionable insights to influence business decisions
Seniority
Senior, hands-on IC
