---
title: 'Staff/Lead LLM Data Scientist (Singapore based) at Agoda'
canonical: 'https://feeny.ai/job/staff-lead-llm-data-scientist-singapore-based-agoda-singapore-etnxz87jez8j'
type: 'job'
last_seen: '2026-09-13'
---

# Staff/Lead LLM Data Scientist (Singapore based) at Agoda

- **Company:** Agoda
- **Location:** Singapore
- **Posted:** 2026-06-09
- **Last confirmed live:** 2026-09-13
- **Apply:** https://job-boards.greenhouse.io/agoda/jobs/7916604

## Job description

## 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

The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

The Opportunity

We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.

As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.

In This Role, You’ll Get to

- Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
- Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
- Work with developers and a variety of business owners to deliver daily results with the best quality.
- Research discover and harness new ideas that can make a difference

## What You’ll Need to Succeed

- 4+ years hands-on data science experience.
- Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
- Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
- Can lead, work independently as well as play a key role in a team.
- Good communication and interpersonal skills for working in a multicultural work environment.

It’s Great if You Have

- PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
- Experience in NLP, image processing and/or recommendation systems
- Hands on experience in data engineering, working with big data framework like Spark/Hadoop
- Experience in data science for e-commerce and/or OTA

#singapore

Please review our Hiring Process Guidelines before your interview — click [here](https://careersatagoda.com/interview/)to learn how interviewing at Agoda works.

Discover more about working at Agoda

- Agoda Careers [https://careersatagoda.com](https://careersatagoda.com/)
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife

## 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](https://careersatagoda.com/privacy-statement).

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.

## About Agoda

## Company Overview
- **One-liner**: Agoda is a digital travel platform that helps travelers find great value deals on hotels, flights, and activities worldwide.
- **Entity Type**: Public (subsidiary of Booking Holdings Inc., NASDAQ: BKNG)
- **Headquarters**: Singapore
- **Founded**: 2005
- **Founders**: Robert Rosenstein and Michael Kenny

## Core Business
- Primary industry: Online travel and accommodation booking
- Target customers: B2C (leisure and business travelers globally)
- Mission/purpose: “Bridging the world through travel” – making travel easier, more affordable, and rewarding for everyone.

## Products & Services
- **[Agoda.com / Agoda mobile app]**: Online travel agency (OTA) offering booking for hotels, homes, villas, flights, and activities. Available in 39 languages with 24/7 customer support.
- **[Agoda Flights]**: Flight booking service launched in 2010.
- **[Agoda Easy Cancel / Hygiene Plus]**: Products introduced during the pandemic to offer flexible cancellation and enhanced cleanliness information.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed separately; parent company Booking Holdings has a market cap of approximately $140+ billion (as of mid-2025). Agoda is a key growth engine within the group.
- **Key Metric**: Over 7,000 employees; processes 1 trillion price checks daily; 2B+ user interactions captured daily; 12 PB of data processed monthly.
- **Notable Investors/Partners**: Wholly owned by Booking Holdings (NASDAQ: BKNG). Partnerships with over 6 million hotels and holiday properties globally.
- **Growth Signals**: Expanded to 27 markets; launched new products during COVID-19 (ASQ, Go Local, Easy Cancel); continues to hire aggressively across engineering, product, and analytics roles.

## Competitive Advantages
- **Scale & Data**: Access to Booking Holdings’ global network and massive data pipeline (12 PB/month, 1 trillion price checks/day) enables real-time pricing optimization and personalization.
- **Tech-First Culture**: Data-driven experimentation (1,000+ live experiments at any time), heavy use of GenAI, and a strong engineering focus.
- **Asia Home Base**: Deep roots in Asia-Pacific with a large office in Bangkok, giving local market insights and cost advantages.
- **Parent Support**: Backed by one of the world’s largest online travel companies, providing financial stability and cross-selling opportunities.

## Strategic Focus
- **Growth through technology**: Continued investment in AI, machine learning, and experimentation to improve search, pricing, and user experience.
- **Expanding product offerings**: Growing beyond accommodation into flights, activities, and domestic travel options.
- **Sustainability**: Integrating sustainability initiatives into operations and offerings.
- **Talent acquisition**: Actively hiring across multiple functions (engineering, product, data, marketing) to support global expansion.

## Why Work Here
- **Culture**: Described as “data-driven to the core” with a focus on experimentation, ownership, and direct respect. Inclusive environment with 90+ nationalities represented.
- **Flexibility**: Hybrid workplace balancing in-office and work-from-home days; employees can work from anywhere for up to 30 calendar days per year.
- **Benefits**: Competitive perks, flexible benefits, relocation support for key roles, and recognition as an award-winning workplace (Fortune World’s Most Admired Companies 2025, TIME/Statista World’s Best Companies 2023, Forbes World’s Top Companies for Women 2023).
- **Engineering & Analytics**: Strong emphasis on tech – 1,000+ live experiments, 12 PB data/month, and a “scientist” mindset across teams. Opportunities to work on massive-scale systems.
- **Community**: Employee Resource Groups (ERGs) for belonging and inclusion; lively social events like AgodaFest.

## Sources
1. [agoda.com](https://www.agoda.com/about-agoda/)
2. [careersatagoda.com](https://careersatagoda.com/our-culture/)
3. [careersatagoda.com](https://careersatagoda.com/)
4. [job-boards.greenhouse.io](http://job-boards.greenhouse.io/agoda)
5. [linkedin.com](https://au.linkedin.com/company/agoda)

## Other roles at Agoda

- [Fast track 1-Day Program: Staff Software Engineer - Back End (Bangkok Based, Relocation Provided)](https://feeny.ai/job/fast-track-1-day-program-staff-software-engineer-back-end-bangkok-based-z9zcd18pd621) — Bangkok, Thailand
- [Staff Software Engineer - Back End: Fast track 1-Day Program (Bangkok Based, Relocation Provided)](https://feeny.ai/job/staff-software-engineer-back-end-fast-track-1-day-program-bangkok-based-a0b2f0ggr1am) — Bangkok, Thailand
- [[Supply NSEA] Account Specialist / Account Executive (Jakarta)](https://feeny.ai/job/supply-nsea-account-specialist-account-executive-jakarta-agoda-jakarta-vnb4h0z6fg2r) — Jakarta, Indonesia
- [Associate Manager, Marketing Strategy (Bangkok Based, relocation provided)](https://feeny.ai/job/associate-manager-marketing-strategy-bangkok-based-relocation-provided-agoda-vj84a83c6e0d) — Bangkok, Thailand
- [Associate Manager, Customer Marketing (Bangkok Based, Relocation Provided)](https://feeny.ai/job/associate-manager-customer-marketing-bangkok-based-relocation-provided-agoda-1mkzjybx3hc5) — Bangkok, Thailand
- [Associate Data Analyst (New Graduate, Thai Speaking) (Marketing Analytics, Bangkok Based)](https://feeny.ai/job/associate-data-analyst-new-graduate-thai-speaking-marketing-analytics-bangkok-cyk7mzj6tjs2) — Bangkok, Thailand
- [Associate Analyst, Marketing (Bangkok Based, relocation provided)](https://feeny.ai/job/associate-analyst-marketing-bangkok-based-relocation-provided-agoda-bangkok-2zrf8byb78gd) — Bangkok, Thailand
- [Senior Business Analyst, New verticals (Bangkok Based, relocation provided)](https://feeny.ai/job/senior-business-analyst-new-verticals-bangkok-based-relocation-provided-agoda-21pmn3zzanws) — Bangkok, Thailand
- [[Supply Central] Senior Specialist,  Supply Operations (Bangkok)](https://feeny.ai/job/supply-central-senior-specialist-supply-operations-bangkok-agoda-thailand-agh5e4wft4qt) — Thailand
- [Analyst/ Senior Analyst, Pricing Optimization (Bangkok Based, relocation provided)](https://feeny.ai/job/analyst-senior-analyst-pricing-optimization-bangkok-based-relocation-provided-akgztm3njaf9) — Bangkok, Thailand