Data Scientist

- BS, Master's, or PhD in Mathematics, Statistics, Computer Science, or a related field.
- At least 3 years of relevant experience in applying machine learning and AI to financial services, including banking, consumer lending, or fraud detection.
- Strong knowledge of SQL; proficiency in Python, R, or Matlab is preferred.
- Experience with reporting tools like Tableau or Power BI.
- Solid understanding of machine learning algorithms (e.g., neural networks, regression, boosting), numerical optimization, and predictive modeling techniques.
- Familiarity with big data technologies, database management, and parallel computing.
- Strong background in business intelligence and data visualization for actionable insights.
- Eagerness to continuously learn and apply Python for advanced analytical tasks.

- Salary: Negotiable based on capability.
- Meal support: Breakfast and lunch provided at the company.
- Working hours: 5 days/week, from 9:00 AM to 6:00 PM.
- Equipment provided: MacBook, laptop, 24” LCD monitor, and other necessary tools.
- Attractive bonus policy: 13th-month salary, quarterly and annual performance-based bonuses.
- Leave entitlement: 12 days of annual leave, birthday gifts, and other company benefits.
- Work environment: Young and dynamic workspace with modern office facilities. Free tea, coffee, and a beverage fridge available.
- Team activities: Team-building events, member birthday celebrations, and company trips.
- Social insurance: Full social, health, and unemployment insurance contributions after a 2-month probation period, along with other benefits as per labor laws.
- Health insurance: Comprehensive health insurance package for employees and their families.