Short Description:
The Lead Data Scientist role at Agoda, Bangkok, offers challenges in machine learning and big data. Responsibilities span modeling, mining vast datasets for insights, and collaborating with diverse teams. Requirements include 4+ years of data science experience, AI/ML/DL proficiency, coding skills (Python, PySpark, Scala), leadership capabilities, and strong communication in a multicultural setting. Agoda promotes diversity, offers relocation support, and values an inclusive workplace.
Job Title: Lead Data Scientist (Bangkok based, relocation provided)
Location: Bangkok, Thailand
About Agoda:
Agoda is a prominent online travel booking platform specializing in accommodations, flights, and more. We are dedicated to utilizing cutting-edge technology to connect travelers with over 3.6 million accommodations globally. As a part of Booking Holdings, our team of 6,000+ employees from 90+ nationalities fosters a diverse, creative, and collaborative work environment. We thrive on innovation through a culture of experimentation and ownership, enhancing our customers' ability to explore the world.
The Data Department at Agoda:
The Data department at Agoda plays a vital role in managing the company's data-related needs. Our primary objective is to facilitate and enhance the utilization of data throughout the organization, employing creative approaches and implementing robust resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We recruit the brightest talents from around the globe to take on this challenge, equipping them with knowledge and tools that contribute to their personal growth and success, while embracing our company's culture of diversity and experimentation. The Data team's role at Agoda is pivotal as various stakeholders, including business users, product managers, engineers, and more, rely on us to empower their decision-making processes. We are equally committed to improving the search experience for our customers by delivering faster results and protecting them from fraudulent activities.
The Opportunity:
We are seeking ambitious and agile data scientists to join our team, providing the opportunity to work on some of the world's most challenging machine learning and big data platforms. Our systems process approximately 600 billion events daily and make around 5 billion predictions.
As a member of the Data Science and Machine Learning (AI/ML) team, you will encounter real-world challenges, including dynamic pricing, real-time customer intent prediction, search result ranking for maximizing lifetime value, content classification, deep learning from unstructured data (such as images and text) for personalization, innovative algorithm-supported promotions and products for supply partners, insights discovery from big data, and enhancement of the user experience. You will have the privilege to work on one of the world's largest ML infrastructures, featuring dozens of GPUs working in parallel, over 30,000 CPU cores, and 150TB of memory.
In This Role, You'll Get to:
- Design, code, experiment, and implement models and algorithms to enhance the customer experience, supply-side value, business outcomes, and infrastructure readiness.
- Mine vast datasets, including hundreds of millions of customers and over 600 million daily user-generated events, supplier and pricing data, to uncover actionable insights that drive improvements and innovation.
- Collaborate with developers and various business owners to deliver daily results of the highest quality.
- Research, discover, and implement new ideas that can make a difference.
What You'll Need to Succeed:
- 4+ years of hands-on data science experience.
- Exceptional understanding of AI/ML/DL and Statistics, coupled with coding proficiency using related open-source libraries and frameworks.
- Proficiency in SQL and programming languages such as Python, PySpark, and/or Scala.
- Ability to lead, work independently, and play a pivotal role in a team.
- Strong communication and interpersonal skills for effective collaboration in a multicultural work environment.
It's Great if You Have:
- A 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 frameworks like Spark/Hadoop.
- Experience in data science for e-commerce and/or OTA.
We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
Equal Opportunity Employer:
At Agoda, we are committed to building a diverse workforce and fostering an inclusive environment that encourages collaboration and innovation. Employment decisions at Agoda are based on merit and qualifications, irrespective of factors such as 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.
To all recruitment agencies: Agoda does not accept third-party resumes. Please refrain from sending resumes to our job alias, Agoda employees, or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes. For more information, please refer to our privacy policy.
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