Senior Data Scientist

Job description

What you can expect​ You will build production machine-learning systems that predict customer growth and retention signals. You will partner across engineering, sales, and product teams using scalable MLOps practices. You will directly influence revenue strategy through automated, data-driven scoring and insights. About the Team: Our team delivers predictive intelligence that drives revenue growth decisions. We collaborate across data engineering, product, and go-to-market functions. We exist to turn product usage data into actionable business outcomes. Responsibilities: Building and deploying end-to-end machine learning models — from exploration through production — that score customer expansion likelihood and churn risk, directly informing revenue strategy. Designing and maintaining automated pipelines for model retraining, monitoring, and incident response, ensuring prediction accuracy and system reliability at scale. Partnering with engineering and product teams to define telemetry schemas and data contracts, ensuring high-quality inputs that support longitudinal user behavior modeling. Conducting exploratory analyses and experiments to diagnose conversion changes, validate pro...