Senior Data Scientist (Search)
Core
Develop and deploy machine learning models for hotel ranking, search suggestions, and conversion optimization in a search engine.
Role type
Senior IC machine-learning engineer (search & ranking)
Builds
Hotel ranking algorithms, search suggestions, and conversion optimization features for a travel search platform.
Domain
Travel industry + Search/Recommendation systems
Deliverable
production ML models
Required skills
End-to-end ML project management, classical ML (feature engineering, boosting, classification/regression), deep learning (PyTorch/TensorFlow), Python (production-grade), ML monitoring (drift/degradation), SQL, model interpretability, experiment tracking (MLflow/W&B/DVC), orchestration (Airflow/Prefect/Dagster)
Preferred skills
Vector search, ranking, NLP, CV, Big Data (Hadoop, Spark)
Technologies
Python, PyTorch, TensorFlow, MLflow, W&B, DVC, Airflow, Prefect, Dagster, SQL
Responsibilities
Manage end-to-end ML projects from problem definition to production support; collaborate with data engineers to build datasets and assess feasibility; design and analyze A/B tests with data analysts; develop and train classical ML and deep learning models; deploy models to production and support releases; monitor post-launch model quality and handle drift/degradation.
Seniority
Senior, hands-on IC