About the Role
Gojek is committed to creating a safe and trusted platform for all of our users. As our Data Scientist, you?ll be an integral part of the Data Science and Machine Learning team within GoPay – Southeast Asia’s largest e-money wallet platforms and Indonesia’s leading digital payments provider. In this role, you?ll lead a talented team of data scientists to design and implement models that?ll help scale GoPay?s user base and streamline their transactions. The folks over in the Engineering, Product, and Business teams will be your companions on this ride, as well. You?ll have ample opportunity to utilize your stellar team management skills and knowledge in statistics/ML fundamentals, leveraging on a robust data infrastructure within a fast-paced, agile work environment.
What You Will Do
Work as part of a cross-functional team of engineers, product managers, and business analysts to build data science solutions to prevent malpractices and fraud
Rapidly prototype data science solutions and be involved in product and feature discussions
Analyze large volume data and generate insights that will be actionable
Participate in internal and external conferences and workshops
What You Will Need
Ph.D. or Masters in a quantitative discipline and at least 3 years of relevant experience
Strong quantitative and problem-solving skills
Handon experience in Statistics/ML fundamentals and demonstrated experience in Python, R
Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions
Ability to write clear and concise technical documentation
About the RoleOur GoPay Data Science team is a group of over 15 team members based across Singapore, India and Indonesia. Our role is to build critical ML components/models into the engineering systems to ensure GoPay remains a safe, trusted, and seamless way to conduct payments in Southeast Asia and beyond. Our team members come from varied backgrounds, and bring with them a wide set of skills and expertise (mathematics, statistics, machine learning, structured learning, among others) which we utilize to solve the complex business problems we’re presented. We are enthusiastic about data science techniques and methods, as well as the business impacts of our models, and have numerous team forums where lively sharing discussions and presentations occur.When we aren?t working, you?d probably find us whipping up new recipes in the kitchen, reading up on the latest best sellers, or trying to survive a brutal YouTube HIIT workout at home. We focus on nurturing and supporting one another both personally and professionally, and work together to get the job done.