Senior Data Scientist, Search & Personalization Engines

Gojek Group

Singapore

On-site

SGD 80,000 - 120,000

Full time

14 days+
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Job summary

Gojek Group in Singapore is seeking a Senior Data Scientist for the Search & Recommendation Platform team. You will collaborate with talent from multiple countries to design and deploy innovative search and recommendation models, enhancing user experience across GoFood and GoPay systems.

The ideal candidate holds a Master’s degree in a relevant field, has strong programming skills in Python, C++, or Java, and hands-on experience with large-scale systems. Join a team that thrives on collaboration, curiosity, and quick implementation of high-impact systems.

Qualifications

  • Master's degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field.
  • Hands-on experience building large-scale ranking or recommendation systems in consumer products.
  • Familiarity with LLMs and LLVMs is a strong plus.

Responsibilities

  • Design and optimise hybrid lexical-semantic retrieval pipelines.
  • Build high-quality embeddings and relevance signals.
  • Develop multi-task deep ranking models.
  • Engineer recommendation algorithms using collaborative filtering.

Skills

Strong programming skills in Python
Programming skills in C++
Programming skills in Java
Hands-on experience with ranking systems
Knowledge of LLMs and LLVMs
Product intuition
Good communication skills in English
Understanding of Bahasa Indonesia

Education

Master's degree or higher in Computer Science

Job description

Gojek Group in Singapore is seeking a Senior Data Scientist for the Search & Recommendation Platform team. You will collaborate with talent from multiple countries to design and deploy innovative search and recommendation models, enhancing user experience across GoFood and GoPay systems.

The ideal candidate holds a Master’s degree in a relevant field, has strong programming skills in Python, C++, or Java, and hands-on experience with large-scale systems. Join a team that thrives on collaboration, curiosity, and quick implementation of high-impact systems.

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