Lead Data Scientist
Listed on 2026-06-11
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
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 a 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 TeamThe 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.
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.
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.
- 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.
- 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
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.
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