Senior Data Scientist - Search & Recommendation

Gotogroup; Jakarta Pusat; On-site; IDR 600,000,000 - 1,200,000,000; Full time

Job summary

GoTo Group is seeking an algorithm expert to shape the intelligence behind GoFood and GoPay. You will design and deploy advanced search, recommendations, and monetisation models, collaborating with teams across Singapore, China, Indonesia, and India to launch foundational platform capabilities.

You will design hybrid retrieval pipelines, build embeddings, and develop multi-task ranking models while leveraging real-time signals like promotions and stock.

Qualifications

• Master's degree or higher in Computer Science, ML, NLP, CV or related field.
• Hands-on experience building large-scale ranking or recommendation systems in consumer products.
• Familiarity with LLMs and/or LLVMs; experience integrating them into search or recommendation pipelines.
• Demonstrated ability to innovate with new algorithms or tools and drive measurable impact using LLMs and vision models.

Responsibilities

• Design and optimise hybrid lexical-semantic retrieval pipelines to improve precision and recall across GoFood and GoPay surfaces.
• Build embeddings and relevance signals capturing user intent, cuisine and dish semantics, geolocation, and promotions.
• Develop multi-task deep ranking models balancing conversion, diversity, and retention with real-time signals.

Skills

Python

C++

Java

Recommender systems

LLMs / LLVMs

English communication

Education

Master's degree or higher in Computer Science / ML / NLP / CV

Tools

Large language models (LLMs)

Vector search / IR

Job description

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.

What You Will 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
• 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

What You Will Need

• 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

About the Team

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

About GoTo Group

GoTo is the largest digital ecosystem in Indonesia. GoTo's mission is 'empower progress' by offering technology infrastructure and solutions that help everyone to access and thrive in the digital economy.

The GoTo ecosystem provides a wide range of services, including mobility, delivery, payments, financial services, and technology solutions for merchants. The ecosystem also provides e-commerce services through Tokopedia and banking services through its partnership with Bank Jago.

About Gojek

Gojek is Southeast Asia's leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.