Academic Data Research Scientist - Pipelines & Stats

Ambition; Hong Kong; On-site; HKD 420,000 - 700,000; Full time

Job summary

Ambition is a leading Hong Kong research-focused enterprise seeking a data scientist to design, implement, and maintain research-grade data pipelines and analytical workflows using Python, R, and SAS. You will collect, clean, and integrate datasets from multiple sources, conduct statistical analyses, and generate insights to support scientific investigations.

Collaborating with principal investigators, postdocs, and external partners, you will develop reproducible research methodologies and

Qualifications

• Master's degree or MPhil (PhD preferred) in a quantitative field.
• 2–6 years of relevant data research or scientific research experience.
• Experience in university or research lab environments preferred.
• Strong programming in Python, R, and SAS.
• Solid foundation in statistics, experimental design, and data modeling.
• Experience handling large-scale datasets and data quality validation.
• Excellent written and verbal communication in Cantonese and English.

Responsibilities

• Design, build, and maintain data pipelines and analytics workflows.
• Gather and integrate structured and unstructured data from multiple sources.
• Perform statistical analyses and generate actionable insights.
• Collaborate with researchers and external partners on projects.
• Develop reproducible research methods and data processing frameworks.
• Support experimental design and interpretation of results.
• Prepare technical reports, data visualizations, and publications.
• Ensure data governance and compliance with research standards.

Skills

Python

R

Statistical analysis

Data wrangling

Experimental design

Communication

Multidisciplinary collaboration

Education

Master's degree or MPhil in Data Science/Statistics/CS

Tools

SAS

Job description

Ambition is a leading Hong Kong research-focused enterprise seeking a data scientist to design, implement, and maintain research-grade data pipelines and analytical workflows using Python, R, and SAS. You will collect, clean, and integrate datasets from multiple sources, conduct statistical analyses, and generate insights to support scientific investigations.

Collaborating with principal investigators, postdocs, and external partners, you will develop reproducible research methodologies and