About the Role
We are looking for a data scientist to join our Data Science team at GoPay - you will create models which help grow the customer base and transactions in GoPay. You will work closely with the business, product and engineering stakeholders to identify and solve some of the most challenging business problems in the payments space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team and leverage our robust data infrastructure
What You Will Do
- Develop and optimize personalization and recommendation models to deliver relevant offers, merchants, and experiences to GoPay users.
- Apply a range of DS techniques—such as collaborative filtering, ranking models, embeddings, and graph-based methods—to improve discovery and user engagement.
- Work closely with product and engineering teams to design, test, and deploy end-to-end ML pipelines in production.
- Prototype rapidly, run A/B tests, and analyze online/offline metrics (CTR, conversion rate, NDCG, recall@k, etc.) to evaluate model performance and business impact.
- Leverage large-scale behavioral and transactional data to uncover insights and guide feature design and personalization strategies.
- Contribute to continuous improvement by monitoring model performance, identifying data or algorithmic gaps, and iterating based on real-world feedback.
- Collaborate cross-functionally with other data scientists and engineers to share best practices, improve our personalization infrastructure, and align with GoTo’s broader personalization roadmap.
What You Will Need
- 6–8 years of relevant experience in applied data science or machine learning roles.
- Proficiency in Python, and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Solid understanding of ML fundamentals including supervised learning, ranking, embeddings, and evaluation metrics.
- Hands-on experience in recommender systems, personalization, search, or ranking models is strongly preferred.
- Experience working with large-scale datasets using platforms such as Spark, MaxCompute (MC), or other distributed data environments.
- Strong analytical and problem-solving skills, with the ability to translate complex data insights into actionable recommendations.
- Good communication skills to engage with cross-functional partners and present results clearly.
- Master’s or Ph.D. in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field) is a plus.
About the Team
GoPay Data Science team builds critical ML components/models which go into the engineering systems which make GoPay a safe, trusted and fun way to do payments. Our team members come from varied backgrounds, and bring with them a wide set of skills (mathematics, statistics, machine learning, deep learning etc) which we use some of the toughest business problems in GoPay. We are enthusiastic about both data science techniques and methods, as well as the business impact of our models, and have numerous internal forums where sharing, discussions and presentations by the team members happen.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
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.
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