Data Scientist – Generative AI & Data Pipelines

DAPL Information Technology Management Services Philippines Inc.; Hong Kong; On-site; HKD 334,800 - 502,200; Full time

Job summary

A technology management services firm in Hong Kong is looking for a skilled Data Scientist to enhance their Digitalization Programme. The ideal candidate will leverage data science and machine learning to innovate research initiatives. Responsibilities include conducting research on data for risk monitoring, overseeing operational tools, and leading automation projects. Essential qualifications include a degree in a relevant field and at least three years of experience in data science, proficiency in Python, SQL, and Tableau, as well as familiarity with Docker and Kubernetes.

Qualifications

• At least 3 years of solid work experience in data science, data engineering, and/or data analytics.
• Hands-on experience with containerization and deployment using Docker and Kubernetes.
• Familiarity with DevOps tools and orchestration tools.

Responsibilities

• Conduct data science research on granular and alternative data for risk monitoring and surveillance.
• Oversee, maintain, and enhance the daily operations of an internal web portal and Generative AI-powered tools.
• Lead a team of programmers to automate data dashboard, database management, and model deployment.

Skills

Data science

Machine learning

Python

SQL

Tableau

Docker

Kubernetes

Analytical skills

Problem-solving

Communication

Education

University degree in data science, statistics, economics, computer science or related fields

Tools

Git

Terraform

Jenkins

Apache Airflow

Job description

A technology management services firm in Hong Kong is looking for a skilled Data Scientist to enhance their Digitalization Programme. The ideal candidate will leverage data science and machine learning to innovate research initiatives. Responsibilities include conducting research on data for risk monitoring, overseeing operational tools, and leading automation projects. Essential qualifications include a degree in a relevant field and at least three years of experience in data science, proficiency in Python, SQL, and Tableau, as well as familiarity with Docker and Kubernetes.