Senior Data Scientist - Rankings & Recommendations (all genders)
Core
Design and deploy ranking and recommendation models for vacation rental properties to drive search conversion and user discovery.
Role type
Senior IC machine-learning engineer (ranking & recommendations)
Builds
Ranking pipelines, personalized recommendation systems, and A/B test infrastructure for a travel platform
Domain
Travel technology / Search & Recommendation Systems
Deliverable
production ML models
Required skills
Python, SQL, tree-based models (XGBoost, LightGBM, CatBoost), statistics, predictive modeling, A/B test design, model monitoring, technical leadership
Preferred skills
Experience with reinforcement learning, cold-start modeling, semantic signal integration, large-scale tabular data
Technologies
Python, Airflow, dbt, AWS (SageMaker, Redshift, Athena), MLflow
Responsibilities
Develop high-impact models for ranking and personalization; take models from conception to production; design and run A/B tests; collaborate with Product Managers and Software Engineers; ensure model reliability and monitor drift/latency; lead technical projects and drive prioritization
Seniority
Senior, hands-on IC with technical leadership