Senior Data Scientist

6-9 years
10 days ago
Job Description

About the Role
As a senior data scientist in the GTF Risk Data team, you will develop data science models to protect GoPay and its customers. You will have the opportunity to work with large-scale data to derive new intelligence and use cutting-edge data science techniques. You will partner with Risk, product, and engineering stakeholders to identify and solve some of the most impactful and stimulating business problems in the payments space. You will work in a fast-paced environment with direct impacts to the business.

What Will You Do

    • Combine technical and business knowledge to develop innovative data science solutions
    • Rapidly prototype solutions and contribute to product and feature discussions
    • Analyze large volume of data and generate actionable insights
    • Experiment with different ML techniques and research the latest technologies (e.g. LLM) to determine the best approach
    • Own end-to-end solutioning, from formulating the technical problem to deployment of the solution as part of a cross-functional team of scientists, analysts, product managers, and engineers

What You Will Need
    • 6+ years of experience developing ML solutions, 2-3 years of fraud risk experience in account takeover, scam, and abuse
    • Strong quantitative and problem-solving skills
    • Solid understanding of Statistics/ML fundamentals and 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
    • Ph.D. or Masters in a quantitative discipline (good to have - Experienced - Bachelor)

About The Team
The GTF Data Science team builds critical data science/ML models to make GoPay a safe, trusted and fun way to do payments. Our team members come from diverse backgrounds, and use mathematics, statistics, machine learning, deep learning to solve some of the toughest business problems in GoPay. We are passionate about data science, innovation, and their impacts to the business

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 s 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.


Job Source:

Gojek is an Indonesian on-demand multi-service platform and digital payment technology group based in Jakarta. Gojek was first established in Indonesia in 2010 as a call center to connect consumers to courier delivery and two-wheeled ride-hailing services. Gojek launched its application in 2015 with only four services: GoRide, GoSend, GoShop, and GoFood. Valued at US$10 billion today, Gojek has transformed into a super app, providing more than 20 services.

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