Lead Data Scientist – Singapore Based

About the Team and Role

The Data department at this company centers on serving all data-related needs within Agoda, aiming to amplify data utilization across the organization via innovative strategies and advanced tools such as operational and analytical databases, BI software, queue management systems, and data science technologies. The team cultivates talent globally, fostering growth, diversity, and experimentation. Their critical function supports decision-making for business users, product managers, engineers, and more, while enhancing customer search experiences and fraud protection. The department operates in a high-data-volume environment, presenting substantial challenges and rewards.

Opportunity Overview

This role offers the chance to join the Data Science and Machine Learning (AI/ML) team working on major production machine learning and big data platforms processing roughly 600 billion events daily and generating about 5 billion predictions. Key challenges tackled include dynamic pricing, real-time customer intent prediction, search result ranking for maximizing lifetime customer value, classification and deep learning of content from unstructured data like images and text, personalized recommendations, algorithm-driven promotions and partner product innovation, and big data insight discovery, all built on some of the largest ML infrastructures globally featuring dozens of GPUs in parallel, over 30,000 CPU cores, and 150TB RAM.

Key Responsibilities

• Develop, code, test, and implement machine learning models and algorithms aimed at optimizing customer experience, supply chain benefits, business results, and infrastructure scalability.
• Analyze extensive datasets comprising hundreds of millions of customers, in excess of 600 million daily user events, supplier and pricing data, to extract actionable insights that drive innovation and improvement.
• Collaborate closely with developers and diverse business stakeholders to deliver high-quality daily results.
• Investigate and apply novel concepts and methodologies for significant positive impact.

Essential Qualifications

• Minimum of four years direct experience in data science roles.
• Strong expertise in AI, machine learning, deep learning, statistics, and proficiency with related open-source programming libraries and frameworks.
• Advanced skills in SQL and fluency in programming languages such as Python, PySpark, and/or Scala.
• Demonstrated ability to lead projects, work autonomously, and contribute effectively as part of a team.
• Excellent communication and interpersonal abilities to thrive in a multicultural workplace.

Preferred Qualifications

• Advanced degrees such as PhD or Master's in Computer Science, Operations Research, Statistics, or related quantitative disciplines.
• Experiences specializing in Natural Language Processing, image processing, and recommendation systems.
• Hands-on background in data engineering and working with big data ecosystems like Spark or Hadoop.
• Prior experience in data science roles related to e-commerce and/or online travel agencies (OTA).