Lead/Principal Data Scientist (Bangkok based, Relocation provided)
AI Summary
Leads advanced analytics and machine-learning initiatives for Agoda’s highest-impact opportunities, partnering with product, engineering, and business leaders to deliver scalable, data-driven solutions with measurable customer and business impact.
About this role
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.
Role Summary
The Principal Data Scientist is a senior individual contributor who leads advanced analytics and machine-learning initiatives for Agoda’s highest-impact opportunities.
This role works across product and business domains, partnering with Product, Engineering, Analytics, and business leaders to turn complex problems into scalable, data-driven solutions. You will influence technical direction and deliver measurable customer and business impact.
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.
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