About the Role
As a Lead Data Scientist, you will drive the development of GoPay’s personalization and recommendation systems to deliver relevant offers, merchants, and experiences. You will define the technical direction for recommendation models, work closely with Product and Engineering to deploy scalable ML pipelines, and lead experimentation to measure business impact. Leveraging large-scale behavioural and transactional data, you will continuously improve models in production, mentor data scientists, and align personalization efforts with GoTo’s broader roadmap.
What You Will Do
Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions
Rapidly prototype data science solutions and be involved in product and feature discussions
Analyze large volume data and generate insights which will be actionable
Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
Participate in internal and external conferences and workshops
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 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
