Thông Tin Tuyển Dụng
Senior Expert, Data Scientist (Financial Model)
Cấp bậc | Trưởng nhóm / Giám sát |
Lương | $ Cạnh tranh |
Hết hạn nộp | 06/06/2025 |
Ngành nghề | Ngân hàng , CNTT - Phần mềm , CNTT - Phần cứng / Mạng |
Kinh nghiệm | Trên 3 Năm |
Từ ngày 14/1/2024, CareerBuilder.vn chính thức đổi tên thành CareerViet.vn. Chi tiết xem tại đây.
I. Responsibility:
- Model Development - Design and implement ML/deep learning models using open-source frameworks (e.g. DeepSeek, Llama), optimizing for performance and scalability.
- Data Analysis: Extract insights from large datasets to inform business strategies and product development.
- Research : Stay updated on AI trends (e.g., NLP, computer vision) and apply cutting-edge techniques, DeepSeek’s latest advancements.
- Training & mentorship : Conduct internal workshop/training to upskill Finance in adoption of machine learning, data science and generative AI
- Data Management: Managing, designing, and maintaining complex data management scenarios in the capacity of Data Architect/Data scientist
- Partner with engineering and product teams to integrate models into production systems.
- Maintain clear records of methodologies and present findings to stakeholders.
II. Requirements
Core:
- Bachelor’s or Master's degree in Technology, Computer Science, Data Science - must have
- Strong analytical, problem-solving, and communication skills - must have
- Proficiency in Python/R, SQL, and deep learning frameworks (TensorFlow/PyTorch). – must have
- Sound knowledge of building data pipelines, datasets, and data architecture from raw and unstructured data – must have
- Demonstrated proficiency in modern analytics, reporting and visualization solutions (such as PowerBI, Python) – must have
- Demonstrated proficiency with big data tools (Spark, Hadoop). – must have for experienced candidate
- Experience in NLP, computer vision, or generative AI. – must have for experienced candidate
- Skilled in data modeling and governance models and making them a reality in a large cooperation – must have for experienced candidate
Preferred & extended consideration:
- Preferred Technical Data background: 3+ years in data science, with >1+ years using demonstrated application and/or development of GenAI/ML (including but not limited to Open AI, DeepSeek, LLaMA models) platforms & tools.
- Grads with experience as “Lab tutor” will have advantage/priority
- Experience in Banking and Finance
- Strong Interest in the trend analytics, Financial & Management Reporting in banking domain is a plus
- Knowledge of MLOps practices and open-source contributions.
- Familiarity with cloud services (e.g. AWS) and CI/CD pipelines.