Senior Data Scientist
Core
Build production machine-learning systems predicting customer growth and retention signals to inform revenue strategy.
Role type
Senior IC applied data scientist (product analytics)
Builds
Production ML models, automated pipelines, and telemetry schemas for SaaS customer lifecycle modeling
Domain
SaaS / Product Analytics / Revenue Growth
Deliverable
production ML models
Required skills
Python (ML libraries), SQL, statistics, experimentation design, causal inference, product telemetry modeling, model deployment and monitoring
Preferred skills
MLOps platforms (MLflow, SageMaker, Vertex AI), data transformation tools (dbt, Snowflake), model serving frameworks, observability platforms, mentoring
Technologies
Python, SQL, MLflow, SageMaker, Vertex AI, dbt, Snowflake
Responsibilities
Build and deploy end-to-end ML models scoring customer expansion and churn risk; Design and maintain automated pipelines for model retraining and monitoring; Partner with engineering to define telemetry schemas and data contracts; Conduct exploratory analyses to diagnose conversion changes and validate hypotheses; Communicate model outcomes to cross-functional stakeholders
Seniority
Senior, hands-on IC
