Data Scientist
Core
Build and scale machine learning solutions for product intelligence and data-informed decision-making in a hotel commerce platform.
Role type
Senior IC machine learning engineer (production)
Builds
Predictive and recommendation models integrated into customer-facing and internal applications for 50,000 hotels.
Domain
Travel technology / Hotel commerce
Deliverable
production ML models
Required skills
End-to-end ML solution design, scalable ML pipelines, MLOps, A/B testing, causal inference, model monitoring, feature engineering, SQL, distributed data frameworks
Preferred skills
Deep learning architectures (CNNs, RNNs, transformers, GNNs), RAG, LLM fine-tuning, real-time ML applications, forecasting, anomaly detection
Technologies
Databricks, PySpark, Delta Lake, MLflow, Kubeflow, AWS Sagemaker, AWS Bedrock, PyTorch, TensorFlow, Scikit-learn, Autogluon, PySpark MLlib
Responsibilities
Design and develop end-to-end ML solutions from data exploration to deployment; Collaborate cross-functionally to integrate models into applications; Implement scalable ML pipelines; Run controlled experiments to measure business impact; Operationalise models through CI/CD and MLOps; Monitor production systems for drift and anomalies; Contribute to feature stores and reusable data assets
Seniority
Senior, hands-on IC
