Lead Data Scientist - Risk

Job description

Are you ready to outsmart the world’s most sophisticated fraudsters? Join the GoTo Risk Data Science team as a Lead Data Scientist within our Common Capabilities squad. You’ll be at the front lines of defense, architecting cutting-edge ML solutions that safeguard our entire ecosystem and ensure every transaction is a trusted one. What You Will Do End-to-End ML Development: Lead the design, training, and deployment of machine learning models leveraging the Python, PyTorch, and HuggingFace ecosystem. Systems Optimization: Maintain and troubleshoot high-scale production ML environments, ensuring reliability across systems processing hundreds of millions of transactions. Cross-Functional Collaboration: Partner with team members and key stakeholders to align technical execution with strategic business objectives and measurable impact. What You Will Need Strong quantitative and problem-solving skills Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python Experience building and deploying deep neural network models in a production setting A very good understanding of ML system design, and the issues faced when scaling ML systems and integrating them with other software systems Very good communication skills, and the ability to write clear and concise technical documentation Ph.D. or Masters in a quantitative discipline, with 7+ years of relevant experience. About The Team: The Common Capabilties team is part of the broader Risk Data Science team at GoTo. We are responsible for building ML solutions which other teams within Risk DS can use to improve their problem statement specific models. We are a small team with a diverse background in science and engineering, and our mission is to take fairly cutting edge ML and adapt it to our business problems to create value. We care about bringing innovative and using cutting edge ML to fruition, rather than taking template solutions and fitting them to the problem. The team is currently working on transformer and post-transformer neural network architectures. 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 About The Team: The Common Capabilties team is part of the broader Risk Data Science team at GoTo. We are responsible for building ML solutions which other teams within Risk DS can use to improve their problem statement specific models. We are a small team with a diverse background in science and engineering, and our mission is to take fairly cutting edge ML and adapt it to our business problems to create value. We care about bringing innovative and using cutting edge ML to fruition, rather than taking template solutions and fitting them to the problem. The team is currently working on transformer and post-transformer neural network architectures. About GoTo GroupGoTo 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 FinancialGoTo 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