Data Scientist
Core
Lead the development of a production-grade intelligence engine converting raw telemetry into actionable insights for PQL scoring, expansion modeling, and churn prediction.
Role type
Senior Machine Learning Engineer (MLOps & Predictive Analytics)
Builds
Production ML models, MLOps pipelines, and analytics frameworks for a multi-product SaaS platform.
Domain
SaaS, Revenue Operations, Predictive Analytics
Deliverable
production ML models
Required skills
Advanced SQL, Python (Pandas, Scikit-learn, PyTorch/TensorFlow), Statistics, Causal Inference, Experimentation Design, MLOps, Data Quality/Observability, LLMs/Generative AI
Preferred skills
Experience with telemetry/event-level data, Generative AI for insight automation
Technologies
MLflow, SageMaker, Vertex AI, Kubeflow, dbt, Great Expectations, Soda, Monte Carlo
Responsibilities
Design and deploy end-to-end ML models with defined SLAs; Build and maintain MLOps pipelines for versioning, drift monitoring, and retraining; Collaborate on telemetry schemas and data contracts; Own model observability and incident response; Standardize analytics frameworks and manage the full experimentation lifecycle.
Seniority
Senior, hands-on IC
