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About Agoda
Agoda is an online travel booking platform for accommodation, flights, and more. We develop and roll out advanced technology that connects travelers with over 3.6 million hospitality facilities worldwide. Located in Asia and part of the Booking Holdings, our staff of more than 6,000 employees from over 90 nationalities cultivates an employment environment rich in diversity, inventiveness, and collaboration. We innovate by fostering a culture of experimentation and ownership, enhancing our customers' ability to explore the world.
Get to Know Our Team
The Data department oversees all Agoda’s data-related needs. Our main objective is to encourage and boost the use of data in the company through innovative approaches and implementing robust resources like operational and analytical databases, queue systems, business intelligence tools, and data science technology. We employ the most talented individuals from all over the world to tackle this challenge and aid them with knowledge and tools that contribute to their personal growth and success while maintaining our firm’s culture of diversity and experimentation. The role of the Data team at Agoda is vital as business users, product managers, engineers, and many more rely on us to guide their decision-making process. We are also dedicated to our customers by enhancing their search experience with quicker results and safeguarding them from any fraudulent activities. Data is interesting only when you have plenty of it, and we certainly do. This increases the challenge of being part of the Data department, but also the reward.
The Opportunity
We are looking for motivated and flexible data scientists keen on taking the chance to work on some of the most challenging productive machine learning and big data platforms globally, processing approximately 600 billion events daily and making about 5 billion predictions.
As part of the Data Science and Machine Learning (AI/ML) team, you will confront real-world issues such as: dynamic pricing, real-time prediction of customer intentions, ranking search results to maximize lifetime value, classification and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-endorsed promotions and products for supply partners, discovering insights from big data, and revolutionizing user experience. To handle these challenges, you will have the chance to work on one of the world's largest machine learning infrastructures, employing many GPUs operating concurrently, over 30,000 CPU cores, and 150 TB of memory.
In This Role, You’ll Get to
- Design, code, experiment and roll out models and algorithms to optimize customer experience, supply side value, business results, and infrastructure readiness.
- Mine a vast amount of data from hundreds of millions of customers and over 600 million daily user-generated events, supplier and pricing data and identify actionable insights to drive improvements and innovation.
- Collaborate with developers and various business owners to deliver daily results with the highest quality.
- Research, discover and implement new notions that can create a difference.
What You’ll Need to Succeed
- At least four years of hands-on data science experience.
- Outstanding understanding of AI/ML/Deep Learning and Statistics, along with coding skills using related open source libraries and frameworks.
- Significant proficiency in and languages such as Python, and/or Scala.
- Capable of leading, working independently as well as playing a key role in a team.
- Effective communication and interpersonal skills for a multicultural work setting.
It’s Great if You Have
- A PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
- Experience in Natural Language Processing, image processing and/or recommendation systems
- Hands-on experience in data engineering, working with big data frameworks like Spark/Hadoop
- Experience in data science for e-commerce and/or OTA
We accept both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
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Equal Opportunity Employer
At Agoda, we pride ourselves on being a company comprised of people from diverse backgrounds and orientations. We place a premium on attracting varied talent and fostering an inclusive environment that encourages innovation and collaboration. Employment at Agoda is based purely on an individual's merit and qualifications. We are committed to providing equal employment opportunity regardless of gender, 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 request to have your details removed from the file. For more details, please read our .
To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees, or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.
