GoTo Group Logo

GoTo Group

Senior Data Scientist - Search & Recommendation

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
Singapore, SGP
Senior level
Hybrid
Singapore, SGP
Senior level
As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.
The summary above was generated by AI
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 to '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.

GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.



#LI-HYBRID

Similar Jobs

Yesterday
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads next-generation NAND dry etch process and critical module development, including process innovation, equipment roadmaps, scalability, yield improvement, and cross-functional problem solving. Owns technology roadmaps, collaborates with process and hardware teams, presents updates to management, mentors engineers, leads supplier evaluations, and applies statistical analysis, Python, and AI-enabled tools. Requires advanced semiconductor process expertise, plasma fundamentals, high-aspect-ratio etching experience, technical leadership, and substantial R&D experience transferring processes to manufacturing.
Top Skills: Ai-Assisted ToolsDramDry EtchMS OfficeNandPlasma ChemistryPlasma PhysicsPythonRf SourcesSas JmpStatistical Process Control
Yesterday
In-Office
Singapore, SGP
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Assist Process Integration Engineers in troubleshooting, managing wafer logistics, analyzing experimental data, and monitoring production processes in a semiconductor environment.
Top Skills: KlarityMicron CentralMicron'S SystemsQdrSpcSwr
Yesterday
In-Office
Singapore, SGP
Entry level
Entry level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Manage network tool utilization strategies, benchmark performance, and optimize manufacturing capacity, equipment deployment, and capital investments. Develop and communicate improvement plans across manufacturing teams, assess capacity impacts from process changes, and collaborate on tool and process roadmaps. Apply AI to improve investment decisions, process flexibility, capacity sharing, and equipment repurposing. Identify discrepancies and drive resolutions in a changing environment.
Top Skills: Artificial IntelligenceSemiconductor Manufacturing

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account