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Est. Monthly
Estimated €5,558 - €6,974
Posted August 12, 2026 · 12 days agoLast seen August 23, 2026Est. expiry September 16, 2026

Data Scientist

Lead Data Scientist
Singapore, Singapore
Onsite · Data & Analytics
Full-time · Senior
English
No People Management
Masters
4 years experience
How this salary compares
Salary Context: Data Scientist

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("All roles in Singapore, Singapore"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€4,676–€12,732). The listed pay band (€463–€581) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 3 comparable listings.

Monthly salary comparison for Data Scientist
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Scientist€3,180/per month€5,775/per month€8,713/per month
All roles in Singapore, Singapore€4,676/per month€8,102/per month€12,732/per month
Pay in our data — not quoted in ad (Senior)€463/per month€522/per month€581/per month
About the role

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 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

Job Details

Responsibilities

  • 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

Requirements

  • 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.

Skills & Technologies

SQLPythonPySparkScalaGPUSpark/HadoopDL/AI frameworks

Education Level

Masters
Seen 23 hours agoPartial Schema

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