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Jobs/Data Scientist Role/Agoda - Staff/Lead LLM Data Scientist (Singapore based)
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Agoda

Agoda - Staff/Lead LLM Data Scientist (Singapore based)

Singapore6d ago
In OfficeStaffAPACArtificial IntelligenceData AnalyticsData ScientistStaff Scientist

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Requirements

• Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation. • Technical depth: • LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space. • LLM systems and evaluation: • Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve. • Problem-solving mindset:

Responsibilities

• Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book. • Own end-to-end LLM systems: • Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment. • Turn ambiguity into production solutions: • Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience. • Drive cross-functional decisions: • Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale. • Iterate with real-world feedback:

Benefits

• Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them. • Meaningful user impact: • High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes. • High ownership, high impact: • Direct influence: Play a key role in both implementation and product direction. • Direct influence: • Competitive compensation: Flexible leveling with compensation aligned to experience and impact. • If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you • We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. • Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works.

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