Senior Data Scientist - Computer Vision - KYC

Full Job Description

As a Data Scientist specializing in Computer Vision, you will be solving a variety of practical deep learning and computer vision tasks arising from various business units within GoTo Financial. You should be able to bring a new level of Deep Learning/Computer Vision capabilities to the GoPay data science cloud and mobile platform.

• Work with data like images, videos, speech and real-time sensor data, etc.
• Design, train, optimize, and deploy deep learning/computer vision models.
• Develop unit tests, documentation for features, and evaluate and benchmark model performance and quality.
• Communicate effectively between the business team and the engineering team to gather and implement project requirements.
• Own the end-to-end process, from defining the technical problem to deploying the solution in collaboration with engineers.
• Participate in internal and external conferences and workshops.

• 5+ years of experience in developing Deep Learning/Computer Vision and classic ML models for practical applications.
• Familiar with deep learning frameworks, such as PyTorch, Python, C++, NCNN, etc.
• Have practical knowledge of image/video processing techniques and deep learning in the computer vision domain.
• Proven track record in top-tier open data science/deep learning competitions and/or contributions to deep learning/data science frameworks.
• Familiarity with working knowledge in Android/iOS or GCP.
• Strong communication skills to understand business stakeholders' needs and to effectively convey the results of analytical solutions.
• Ability to write clear and concise technical documentation.

About The Team:

The GoPay Data Science team builds critical ML components/models that go into the engineering systems, making GoPay a safe, trusted, and fun way to make 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 apply to some of the toughest business problems at 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 team members occur.

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, GoToFinancial and GoToLogistics ("GoTo") only post job opportunities on our official channels onour 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.