Data Scientist/Machine Learning Engineer (Based in Singapore, relocation provided)

About Agoda Agoda is an online travel booking platform for accommodations, flights, and more. We develop and utilize cutting-edge technology that connects travelers with more than 3.6 million accommodations worldwide. Situated in Asia and part of Booking Holdings, our staff of over 6000 members, representing 90+ nationalities fosters a workspace abundant in diversity, creativity, and cooperation. Our innovation thrives on a culture of experimentation and ownership, enhancing the capacity for our customers to globally venture. Get to Know Our Team The Data Department supervises all of Agoda’s data-related needs. Our ultimate aim is to facilitate and increase use of data in the company via creative methods and the introduction of effective resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We employ the brightest individuals from globally to tackle this challenge, providing them with knowledge and tools that contribute to their personal advancement and success, all while supporting our company’s culture of diversity and innovation. The role our Data team plays at Agoda is key as business users, product managers, engineers, and many others rely on us to target their decision making. We are similarly dedicated to our customers by enhancing their search experience with fast results and safeguarding them against fraudulent activities. Data only gets interesting when you have enough of it, and we have in abundance. This amplifies both the challenge of being part of the Data department and also the reward. The Opportunity We are on the search for ambitious and agile data scientists interested in the opportunity to work on some of the foremost challenging productive machine learning and big data platforms across the globe, processing approximately 600B events daily and making nearly 5B predictions.

As a member of the Data Science and Machine Learning (AI/ML) team, you will face real-world issues such as dynamic pricing, predicting customer intents in real time, ranking search outcomes to maximize lifetime values, categorizing and learning through deep content and personalization indicators from unformatted data like images and text, recommending personalized pointers, innovating promotions and supplies for partners supported by algorithms, revealing insights from large data, and pioneering the user experience. To solve these challenges, you will have the chance to work on one of the globe's largest ML infrastructures that employs dozens of GPUs operating in harmony, 30k+ CPU cores, and 150TB of memory.

In This Role, You’ll Get to

• Design, encode, experiment, and put in place models and algorithms that will maximize customer experience, supply-side value, business results, and infrastructure readiness.
• Excavate a huge data set of hundreds of millions of clients, and in excess of 600M daily user-generated events, supplier and pricing information, and uncover actionable insights that can drive improvements and innovation.
• Collaborate with developers and various business stakeholders to yield daily high-quality results.
• Research, discover, and utilise new concepts that can make a difference

What You’ll Need to Succeed

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

It’s Great if You Have

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

We welcome applications from both local and international candidates for this role. Full visa sponsorship and relocation assistance available for eligible candidates. Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by individuals of all different backgrounds and orientations. We give priority to attracting diverse talent and cultivating an environment that encourages collaboration and innovation. Employment at Agoda is solely based on a person’s merit and qualifications without regard to 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. To all recruitment agencies: Agoda does not accept unsolicited resumes from third parties. 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.