Senior Data Scientist (Look-2-Book)
Core
Lead end-to-end ML projects to optimize the search-to-book funnel, predict booking probabilities, and balance profitability with operational efficiency in the B2B travel sector.
Role type
Senior IC machine learning engineer (travel optimization)
Builds
Production scoring models, multi-objective optimization systems, and cache freshness predictors for B2B travel search
Domain
TravelTech / B2B APIs
Deliverable
production ML models
Required skills
Machine Learning (Gradient Boosting, Classification, Regression), Recommendation Systems & Ranking (KNN, FAISS, Learning-to-Rank), Big Data Engineering (PySpark, SQL), Python for production, A/B test design, Entity matching
Preferred skills
NLP & Embeddings, Dynamic pricing, Multi-objective optimization, Probability theory and mathematical statistics
Technologies
CatBoost, LightGBM, PySpark, Airflow, FAISS, KNN
Responsibilities
Formulate hypotheses and define ML tasks for business problems, develop and validate models for look-to-book conversion, collaborate with data engineers on pipeline robustness, design and evaluate A/B tests, optimize trade-offs between margin and operational incidents
Seniority
Senior, hands-on IC
