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 2.5 million accommodations globally. Based in Asia and part of
Booking Holdings, our 4,000+ 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.
Get to Know Our Team
The Data department 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
One of the most interesting challenges with the Fraud team is to create an
infrastructure that is flexible enough to quickly react to new fraud trends.
Fraudsters quickly adapt to new patterns, and they are constantly finding new
loopholes in order to commit fraud. Fraud Infra team is all about creating a
platform that facilitates and allows the Fraud team to quickly counter these
patterns and work efficiently. The team, for example, is developing an
infrastructure to generate machine learning features so that our AI can be
developed in a timely manner.
In This Role, You’ll Get to
* Design,develop and maintain big data and machine learning processing pipelines
* Improve scalability, stability, and efficiency of our existing data systems
* Write great code and help others write great code
* Collaborate with other teams and departments
What You’ll Need To Succeed
* Bachelor’s Degree / Master/ Ph.D. in computer science or equivalent experience
* Over 3 to 5 years of working experience in tech industry experience
* Over 2 years of hands-on experience working with technology like Spark, Hadoop, Kafka
* Good understanding of algorithms and data structure
* Strong Coding ability
* Experience with a modern programing language like Scala, Java, Python
* Excellent verbal and written communication skills
It’s Great If You Have
* Knowledge and experience with machine learning
* Experience with Scrum/Agile development methodologies
* Experience building large-scale distributed products
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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.