Data Scientist I - Customer Lifecycle
Core
Optimizing customer lifecycle through data-driven analysis to drive retention, lifetime value, and engagement strategies.
Role type
Junior IC data scientist (customer analytics)
Builds
Automated retention interventions, scalable feature engineering frameworks, and predictive ML models for churn/LTV
Domain
Telecom / Consumer Wireless / Customer Experience
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python or R, Snowflake, Databricks, Tableau or Power BI, statistical analysis, data visualization
Preferred skills
Customer lifecycle analytics, customer experience (CX), finance, or marketing analytics
Technologies
Databricks, Snowflake, Tableau, Power BI, Python, R, SQL
Responsibilities
Conduct churn driver and program impact analysis; build and deploy automated data pipelines and feature engineering frameworks; architect and deploy predictive ML models for churn and LTV; design interactive dashboards; translate complex datasets into actionable business recommendations
Seniority
Junior, hands-on IC
