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Lead/Principal Data Scientist

Job Overview

The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet

Key points

  1. Own the assistantʼs core intelligence: intent understanding, multi-step trip planning.

  2. Memory, and tool calls into Agodaʼs search.

  3. Build the evaluation backbone: offline evaluations, LLM-as-judge calibrated against.

  4. Human labels, and A/B tests, so we know a change is better before travelers see it.

  5. Modeling, statistics, experimentation and causal inference.

  6. Hands-on experience building LLM systems: RAG, tool use, agent orchestration, context.

  7. And memory, with an evaluation-first approach.

  8. Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort.

Skills

LLMsMachine LearningStatisticsInterviewingProblem SolvingRAGA/B TestingRecruiting

Experience: Senior-level

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