Data Scientist
Overview
Salary: Thoả thuận
Job Type: Full-time
Experience: 3 years of experience
Openings: 1
Deadline: 2025-12-24
Posted: 2025-11-07 22:00
Category: Công nghệ thông tin
Job Description
• Deriving insights from data using descriptive statistics, predictive analytics, and machine learning methods
• Supporting data-driven decisions when working directly with Product, Engineering, and Business stakeholders
• Developing AI and ML solutions to tackle business challenges and enhance efficiency through process automations
• Producing and presenting in-depth analytics reports
• Working with non-technical users and developing our data maturit
Requirements
• Min 3 years of experience building AI solutions for automation
• Strong proficiency in Python programming, with experience writing production-grade code
• Good understanding of basics in data science, machine learning, and deep learning
• Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
• Proven ability to design and implement LLM-powered automation solutions
• Experience with building ML/AI solution endpoints, e.g., using FastAPI
• Familiarity with Docker for containerization and deployment
• Experience with Git for version control and collaborative development
• Knowledge of Azure Cloud, especially Azure AI Foundry
• Ability to develop test cases, perform testing, and report test results
• Strong attention to detail in technical documentation and solution design
• Strong problem-solving and logical reasoning skills
• Ability to manage and contribute to multiple projects simultaneously
• Excellent communication skills for cross-functional collaboration and stakeholder engagement
Benefits
• Salary: Negotiation
• Join a global team and work directly with many talents around the world.
• Opportunities for onsite work in Japan, Singapore, Australia, and many other countries.
• Work and grow in a dynamic, creative, and professional environment.
• Healthcare: Premium Health Insurance TECHVIFY Care
• 13 months’ salary per year.
• Annual salary evaluation.
• Sponsor and encourage staff to study courses by covering tuition fees, such as Udemy, Coursera.