We are seeking a technically accomplished and mission-aligned Data Science Engineer to work on our client project in healthcare. In this role, you will take ownership of data-driven solutions, design robust data pipelines, and work with real clinical data to make a tangible difference.
You will work cross-functionally with product managers, backend engineers, and domain experts to translate complex healthcare data into scalable tools and insights that drive strategic decision-making.
Responsibilities:
Data Engineering & Orchestration
Design, build, and maintain scalable data pipelines and ETL/ELT processes using modern tooling (e.g., Airflow, dbt).
Collaborate with data engineers and scientists to integrate, process, and analyze large datasets while ensuring strict data accuracy and integrity.
Analytics & Data Storytelling
Conduct in-depth exploratory data analysis (EDA) and build intuitive dashboards or reports using Apache Superset or similar BI tools.
Derive deep insights about populations and healthcare trends.
Translate complex data insights into clear, actionable stories for non-technical stakeholders and explain why they matter.
Collaboration & Innovation
Work closely with cross-functional teams to define data product requirements and deliver business-aligned outcomes.
Stay up-to-date with the latest advancements in AI/ML and propose innovative ways to incorporate them into the StrongRoom platform.
Write clean, well-documented, and reproducible code for both research and production environments.
Qualifications:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
3+ years of experience delivering data science and analytics solutions in a commercial setting.
Demonstrated success taking machine learning or analytics products from prototype to production.
Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, PyTorch, etc.).
Strong SQL skills with experience handling both relational and non-relational databases. Familiarity with cloud platforms (AWS, GCP, or Azure).
Experience with modern data infrastructure, containerization, and orchestration (e.g., Airflow, dbt, Docker, Git).
Experience with Apache Superset (or similar BI tools).
Advanced Machine Learning is considered a strong plus.
Experience working with sensitive or regulated data-ideally in healthcare.
Experience in banking or similarly highly-regulated industries is also highly valued.
Professional fluency in English (both written and spoken) with the ability to bridge the gap between technical and non-technical teams.
Ability to work strictly from 7:30 AM to 4:00 PM Bangkok time daily to provide reliable coverage and real-time collaboration with our Australian operations.
About Iglu
Iglu is a multinational network of companies that hires digital professionals around the world to work for international clients either fully-remote or from its locations in Thailand, Vietnam and Hong Kong. We are organized to maximize a sustainable work-life balance for our employees, whilst delivering an efficient, productive and high-quality service for our clients.
Join our community of like-minded digital professionals and access opportunities to work remotely in a whole new way. You will be part of an amazing group of people with a flexible company culture that encourages you to live the way you like and work on projects of your choice.
