Senior Data Scientist - Search & Recommendation
at Gotogroup
Singapore, hybrid, senior, full time
seen 2d ago
- LSH
- Java
- Dense vectors
- C++
- HNSW
- LLM
- Generative retrieval
- Graph-based methods
- BM25
- LLVM
- Collaborative filtering
- Sequence models
- Python
About the role
Singapore
ODS - Data – - /
Permanent /
Hybrid
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About the Role
As an algorithm expert on the Search and Recommendations Platform team, you will work alongside top talent in Singapore, China, Indonesia, and India to shape the intelligence behind GoFood and GoPay systems. You will design and deploy cutting-edge search, recommendations, and monetisation models that power on-demand and financial use cases across Indonesia. In your first six months, you will play a key role in launching foundational platform capabilities and collaborating with business-facing data science teams, to drive business impact and improve user experience.
If you are passionate about applying advanced algorithms to deliver real business outcomes, this is one of the highest-leverage roles in the company.
We’re a growing team of algorithm members and engineers spread across Singapore, China, Indonesia, and India. We build the core search and recommendation platform capabilities to power use cases all across the GoTo universe. Everyone on the team shares a bias towards action and a passion for deploying models and strategies to real-world problems - whether it’s improving ranking and relevance accuracy, scaling LLM-powered retrieval, or personalising customer journeys.
We believe algorithm and engine application is a team sport. We work openly, challenge ideas with curiosity, and support one another to build systems that move the business forward
What you would do
* Design and optimise hybrid lexical–semantic retrieval pipelines (e.g., BM25, dense vectors, HNSW/LSH, generative retrieval) to improve precision and recall across GoFood and GoPay surfaces
* Build high-quality embeddings and relevance signals that capture user intent, cuisine and dish semantics, geolocation, delivery constraints, price sensitivity, and promotions
* Develop multi-task deep ranking models that balance conversion, diversity, merchant quality, and long-term user retention, integrating real-time signals such as promotions, surge, and stock availability
* Build personalised ranking layers and user behaviour models leveraging historical orders, preferences, and contextual features
Read from jobs.lever.co, last seen 1d ago.