Senior Data Scientist - KYC

About the Role
We are looking for an experienced data scientist who can lead a team of multi-displinary data scientists to create models which helps build a trusted KYC system. You will be working as part of the Data Science team at GoPay and will work closely with the business, product, and engineering stakeholders to identify and solve some of the most challenging business problems in the KYC space. You will have the opportunity to work in a fast-paced environment in a highly cross-functional team with business and product stakeholders and leverage our robust data infrastructure.

What You Will Do

• Work with data like images, videos, and real-time sensor data, etc
• Rapidly prototype solutions and drive/be involved in product and feature discussions
• Communicate effectively between the business team and the engineering team to gather and implement project requirements
• Use data techniques to analyze KYC onboarding issues, and evolving fraud patterns and build insights
• Manage a team of data scientists and lead them in creating trusted KYC solutions
• Partner with engineering, product, and business teams to conceive, design & build data science solutions to grow both users and transactions in GoPay
• Drives technical and organizational choices within data organization and creates consensus around problem definitions

What You Will Need

• 8+ years of proven experience in developing Deep Learning/Computer Vision and classic ML models for practical applications in consumer space and managing a team of data scientists and leading them to create business-relevant data science solutions
• Strong quantitative and problem-solving skills
• Familiar with deep learning frameworks, such as TensorFlow/Keras, Caffe, PyTorch, NCNN, or any other related framework
• Have practical knowledge of image/video processing techniques and deep learning in the computer vision domain
• Familiarity with working knowledge in Android/iOS and GCP
• 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 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 Gojek
Gojek is a Super App. It is one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. We are Indonesia’s first decacorn. We are  also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business, and MSMEs.
As of 2018, Gojek processed more than $9 billion in annualized gross transaction value across all markets where it operates - in Singapore, Vietnam, and Indonesia. We have the largest food delivery product in Asia (outside of China) and is the largest payments wallet in Southeast Asia.
Gojek contributed IDR 249 T to the Indonesian economy (equivalent to 2% of Indonesia's GDP in 2020). As of Q1 2021, the Gojek App witnessed over 190mn downloads by customers. The platform has over 2mn Driver Partners & ~900000 Merchant Partners across SEA.
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.