Lead Data Scientist
Listed on 2026-06-18
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Overview
We are looking for ambitious and agile data scientists who want to work on some of the most challenging productive machine learning and big data platforms worldwide. In this role you will design, code, experiment, and implement models to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
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.
- 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.
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.
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