End-to-End ML Ownership: Lead ML projects from formulating hypotheses and task setting to delivering measurable business impact. You will be responsible for the entire cycle, ensuring fast time-to-market and maintaining model quality in production.
Cross-functional Collaboration: Work closely with Data Engineers to build robust production data pipelines, and with Data Analysts to dive into business context, define metrics, and design/evaluate A/B tests.
Domain-Specific Problem Solving: Translate business goals into mathematical models. You will solve core domain challenges, such as: Rate Matching (deduplication of rates from 350+ suppliers), Alternative Search (RecSys & Ranking for unavailable rates), Multi-objective Optimization (balancing margin maximization with incident minimization), and Cache Freshness Prediction (predicting the likelihood of a rate changing before booking).
Model Development: Develop, train, and validate machine learning model...
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