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Lead Data Scientist - Search & Recommendation

GoTo· ODS - Data
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Hybrid (Singapore)PermanentPosted 6mo ago

About the role

Algorithm expert on the Search and Recommendations Platform team designing and deploying search, recommendations, and monetisation models to power GoFood and GoPay systems across Indonesia. Hybrid permanent role based in Singapore, with collaboration across Singapore, China, Indonesia, and India.

Responsibilities

  • 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.
  • Engineer recommendation algorithms using collaborative filtering, graph-based methods, and sequence models for retrieval expansion (e.g., Q2Q2I, Q2I2I, U2I), including for cold-start merchants and new dishes.
  • Advance embedding quality for multi-modal data (text, images, behavioural signals) and use LLMs to enhance structured knowledge (taxonomy tagging, dish attributes, dietary labels).
  • Incorporate structured metadata, taxonomy signals, and knowledge-graph features into retrieval and ranking pipelines to improve semantic understanding and consistency.

Qualifications

  • Master’s degree or higher in Computer Science, Machine Learning, NLP, CV, or a related field; strong programming skills in Python, C++, or Java.
  • Hands-on experience building large-scale ranking or recommendation systems in consumer products (ecommerce, food delivery, rideshare, ads, streaming, social).
  • Familiarity with LLMs and/or LLVMs. Experience integrating them into search or recommendation pipelines is a strong plus.
  • Demonstrated ability to innovate with new algorithms or tools and drive measurable impact, especially making use of Large language Models (LLMs) and Large Language and Vision models (LLVMs) in search or recommendation modeling.
  • Strong product intuition and ability to reason from user behavior data and traffic patterns.
  • Good communication skills in English, both written and verbal. Bonus points if you can understand Bahasa Indonesia.
  • Self-motivated, curious, and excited by the opportunity to build high-impact systems quickly.

Skills

Required:Hybrid lexical–semantic retrievalEmbeddings and relevance signalsDeep ranking modelsPersonalised ranking and user modelsRecommender algorithmsKnowledge integration
Nice to have:Multi-modal embedding quality
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About GoTo

Go Together, Go Far

Kami adalah perusahaan teknologi nomor 1 di Indonesia. GoTo berdedikasi untuk menciptakan dampak sosial berskala besar di manapun kami beroperasi.

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