Job Overview:
As a Data Scientist, you will push Digitalization initiatives by using technology and data science for research and innovation in machine learning and Generative AI.
Qualifications:
Candidates should have a strong background in data science and experience with coding and DevOps tools. Knowledge of data integration, data pipelines, and machine learning is a plus. Good communication and problem-solving skills are essential, along with the ability to work well in a team.
Key Responsibilities:
Conduct research using various data for risk monitoring.
Manage and improve an internal web portal and Generative AI tools.
Lead a team to automate data dashboards and deploy models.
Requirements:
A degree in data science, statistics, economics, computer science, or a related field.
At least 3 years of experience in data science, engineering, or analytics.
Proficiency in Python, SQL, and Tableau.
Experience with Docker and Kubernetes.
Familiarity with DevOps tools (Git, Terraform, Jenkins) and orchestration tools (Apache Airflow).
Understanding of data pipelines and machine learning is advantageous.
Strong communication and problem-solving skills.
Proficient in English and Chinese.
Contract Duration:
12 months