[Data Scientist] Principle Data Scientist - SG

Posted 4 Days Ago
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Singapore, SGP
In-Office
Expert/Leader
Software • Travel
The Role
Lead high-impact data science initiatives from problem definition through production deployment and iteration. Design and deploy machine learning, AI, and analytical solutions, translate ambiguous business problems into measurable objectives, and partner with senior stakeholders on strategy and roadmaps. The role also provides technical leadership and mentorship across the data science community. Strong Python, SQL, statistics, machine learning, production modeling, and large-scale data experience are required.
Summary Generated by Built In

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 , based in Bangkok , 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.

What You’ll Do

  • Identify and solve high-leverage problems across Agoda.
  • Translate ambiguous problems into measurable objectives and technical solutions.
  • Lead the design and deployment of ML, AI, and analytical solutions.
  • Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
  • Partner with cross-functional leaders to shape strategy and roadmaps.
  • Provide technical leadership and mentorship across the data-science community.

What You’ll Need
  • Extensive hands-on experience in data science, machine learning, and statistics.
  • Experience delivering production models with measurable customer or business impact.
  • Strong Python and SQL skills; experience with large-scale data and ML platforms.
  • Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.

Nice to Have
  • Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
  • Experience with production LLM or generative-AI systems.
  • Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.

 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 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.

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.

Skills Required

  • Extensive hands-on experience in data science, machine learning, and statistics
  • Experience delivering production models with measurable customer or business impact
  • Strong Python and SQL skills
  • Experience with large-scale data and machine learning platforms
  • Ability to influence senior stakeholders and communicate clearly with technical and non-technical audiences
  • Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization
  • Experience with production LLM or generative AI systems
  • Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field

Agoda Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Agoda and has not been reviewed or approved by Agoda.

  • Flexible Benefits — Flexible allowances like “Agoda Choice” are presented as customizable for health, learning, travel, fitness, or wellness, which can increase perceived value beyond base pay. Reimbursement-style options are also described as usable for a wide range of personal needs, from training to wellness expenses.
  • Healthcare Strength — Health-related coverage is described as comprehensive, including medical and life insurance and, in some places, dental and vision. Mental-health and support resources such as an Employee Assistance Program and unlimited Headspace access are also highlighted.
  • Wellbeing & Lifestyle Benefits — Hybrid/remote arrangements and a work-from-anywhere style program are positioned as benefits that support work-life balance. Travel-related perks such as employee discounts and automatic Platinum membership add lifestyle value for employees who use the platform.

Agoda Insights

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The Company
HQ: Singapore
9,211 Employees
Year Founded: 2005

What We Do

Agoda is transforming travel for millions of customers across the globe. Headquartered in Asia, Agoda is one of the world’s largest online travel platforms. Founded in 2005 and now part of Booking Holdings (Nasdaq:BKNG), Agoda has a network of over 2,900,000 properties worldwide. Our web and mobile products provide a first-rate reservation service in 38 languages that uniquely combines local knowledge and local connections to provide the best deals for business and leisure travelers. Agoda employs over 7,000 professionals from 90 nationalities in locations around the globe. In every department – from engineering to customer experience – we provide an environment rich with creativity, collaboration, and experimentation, and the tools to work faster and smarter. At Agoda, we believe our people are our strength. We work hard and have fun, and we choose people who are dedicated to making things great. For properties seeking partnership with Agoda, visit https://connect.agoda.com

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