Staff/Lead LLM Data Scientist (Singapore based)
About Agoda
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Get to Know Our Team
Agoda, part of Booking Holdings, operates at the cutting edge of tech innovation. Work and build LLM-powered features that enable users to seamlessly book flights, hotels, and activities in an all-in-one experience.
Build solutions operating directly in real booking flows at Agoda scale. You’ll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one.
This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering.
What You'll Do
- 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.
- 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.
- Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience.
- Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale.
What We're Looking For
- Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation.
- 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.
- Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve.
Why This Role
- Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them.
- High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes.
- Direct influence: Play a key role in both implementation and product direction.
- 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.
Discover more about working at Agoda
- Agoda Careers
- YouTube
Equal Opportunity Employer
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
Disclaimer
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
As published by greenhouse
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
- Are you currently based in Singapore? choose any
- The headquarters of Agoda’s data science team is located in Bangkok, where most of our data scientists and stakeholders collaborate on various projects. Thus we have more openings for data science roles in Bangkok and would provide relocation assistance as well. Would you also be open to consider Bangkok as your work location? choose one
- If you're selected, we'll send you a CodeSignal test, just like our other tech talent took before joining. It helps us gauge your expertise. It's due in 7 days, and completing it on time is crucial. Can you complete the test soon? Thanks! choose one
- Have you ever participated in National or International Mathematics or Physic Olympiad contest(s)? choose one
- Have you taken any technical test or interviewed with Agoda for a Data Scientist role with Agoda in the last 6 months? choose one
- How did you hear about this job? choose one
- Do you agree to Agoda’s use of personal data from your application to improve our recruitment experience? We may collaborate and share your data with third-party providers for recruitment purposes and you may ask to remove your data at any time. choose one
- We collect your gender information for diversity, equity & inclusion monitoring purposes. It is entirely voluntary to answer the question below. By choosing “prefer not to disclose”, your candidacy will not be impacted. choose one
- To avoid actual or perceived impairment of our parent company’s independent auditor – Deloitte and to comply with applicable regulations of Securities and Exchange Commission of the United States, we need to seek approvals from our parent company before starting the interview process. With this, please confirm if you are currently or formerly have been associated with Deloitte or any of its subsidiary entities at any time including but not limited to any time as a direct employee, director, contractor, major shareholder, intern etc.? choose one
- What is your overall years of relevant experience? choose one
- Are you presently employed by any company within the Booking Holdings group, including but not limited to Kayak, OpenTable, Booking.com, Rental Cars, RocketMiles, FareHarbor, HotelsCombined, CheapFlights, Momondo, Priceline, or Getaroom? choose one
- In which country/region are you currently based? choose one
- Do you allow us to provide you TEXT/SMS updates of your interview process? We may engage with a service provider to do so. choose one
- Email me about other job openings within the Booking Holding’s entities and recruitment-related newsletters choose one