Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with more than 3.6 million accommodations globally. Based in Asia and part of Booking Holdings, our 6,000+ employees representing 90+ nationalities foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
Our Purpose – Bridging the World Through Travel
We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
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.
The Opportunity
Please note -The role will be based in Bangkok.
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.
As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world’s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
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
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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 .
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.
Khi mở cửa hàng đầu tiên vào năm 1973, công ty đã quyết định lựa chọn “FamilyMart” để đặt tên cho cửa hàng với một mong muốn chân thành rằng khách hàng của công ty, hệ thống cửa hàng nhượng quyền thương mại và trụ sở chính của CÔNG TY TNHH CỬA HÀNG TIỆN LỢI GIA ĐÌNH VIỆT NAM sẽ phát triển với nhau như một gia đình. Trong giai đoạn tiếp theo, chúng tôi không ngừng nỗ lực để trở thành nhà cung cấp hạ tầng sống tốt đẹp hơp và làm việc chăm chỉ để đáp ứng nhu cầu đa dạng của khách hàng theo sự thay đổi cấu trúc xã hội. Đồng thời, chúng tôi quyết tâm điều chỉnh mô hình kinh doanh nhằm đẩy mạnh đặc tính thuận lợi của những cửa hàng lân cận.
Chính sách bảo hiểm
- Đóng BHXH với mức 100% lương trên HĐLĐ.
Các hoạt động ngoại khóa
- Được tham gia các hoạt động ngoại khóa của công ty
Lịch sử thành lập
- 07/2013: Khai trương cửa hàng đầu tiên tại Saigon Sky Garden (20 Lê Thánh Tôn, TP HCM) sau khi đã tái cơ cấu.
- 02/2014: Cửa hàng đầu tiên tại Bình Dương được khai trương tại Ký túc xá, khu B, Đại học Quốc gia Việt Nam.
- 06/2016: Đi vào hoạt động cửa hàng FamilyMart đầu tiên tại Vũng Tàu, thời điểm này số lượng các cửa hàng của FamilyMart đạt mốc 100 cửa hàng.
- 01.2019: FamilyMart Việt Nam vinh dự được nhận giải thưởng “Dịch vụ được yêu thích nhất (Most Favorite Service)” do độc giả của cẩm nang Kilala – Cẩm nang về văn hóa, du lịch Nhật Bản dành cho người Việt – bình chọn.
Mission
Sứ mệnh của chúng tôi là mang cửa hàng FamilyMart đến gần hơn với mọi người và luôn tạo cho khách hàng cảm giác thoải mái, thân thiện như chính thành viên của gia đình mình.
Tầm nhìn của chúng tôi hứa hẹn sẽ đem lại một cuộc sống chất lượng tốt đẹp hơn nhằm đền đáp sự tin tưởng của tất cả mọi người ở mọi lứa tuổi, mọi khu vực, mọi quốc gia nơi FamilyMart có mặt. Ngoài ra, chúng tôi cũng không ngừng phấn đấu để trở thành một bộ phận không thể thiếu đối với xã hội.