Lead Data Scientist - Data Payments

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About the Role

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 Do

What You Will Need

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 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.