Data Scientist II
Description
Company Introduction
Momo is one of Vietnam's leading fintech companies, serving more than 30 million users across payments, financial services, and everyday digital needs.
Our ambition is to become an AI-powered Financial Assistant for every Vietnamese. We use technology and data to make managing money simpler, more accessible, and more relevant, from payments and transfers to borrowing, saving, investing, and daily spending.
We are building an AI-first financial platform that helps more people access personalized and trusted financial services. AI is increasingly embedded in how we understand users, improve products, manage risk, and protect transactions.
About the Role
Join MoMo's Data Science community to solve product and financial-services problems with statistics, experimentation, and machine learning. Depending on your strengths, you may work on personalization, growth, risk, fraud, credit, or customer intelligence.
At level I, you will deliver well-scoped analyses and models with guidance. At level II, you will own larger problem areas, work more independently, and partner with product and engineering teams to move solutions into production.
- Recommendation, personalization, and customer growth
- Risk, fraud, credit, and customer intelligence
- Segmentation, forecasting, experimentation, and product measurement
Why work with us
- Build products for more than 30 million users at one of Vietnam's leading fintech companies.
- Work on AI and data systems that influence real customer and business outcomes.
- Solve complex problems across financial services, personalization, fraud, conversational AI, and large-scale platforms.
- Work across the full development lifecycle, from experimentation and engineering to production deployment and continuous improvement.
Mô tả công việc
- Frame business questions as clear analytical or machine-learning problems;
- Prepare data, engineer features, and build models that are practical for MoMo's products;
- Evaluate model quality through sound validation, experiments, and business metrics;
- Work with engineers and product teams to deploy, monitor, and improve solutions;
- Communicate findings clearly and contribute reusable code, documentation, and methods.
Yêu cầu công việc
- 3+ years working experience with 2 years hands-on with ML, or 2+ years with Ph.D. degree;
- Good understanding of mathematical foundations of Machine Learning algorithms;
- Have practical experience in applying Machine Learning in personalization, credit scoring or user behavior analysis;
- A builder. You go the extra mile to bring your prototypes to production;
- Strong product ownership. You take a high responsibility for what you build. You keep a high bar for product quality;
- Strong collaboration skills. You reach out to help other team members;
- Experience with credit scoring or financial service models is a plus.
