Data Architect

Apply for the Data Architect role at Seatrium
.

• Perform deep‑drive statistical analysis and build machine learning models for tasks such as classification, regression, clustering, and recommendation.
• Design, develop, and maintain scalable and efficient data pipelines to automate data collection, cleaning, and feature generation.
• Collaborate with business stakeholders and cross‑functional teams to define problems, identify key metrics, and present data‑driven recommendations.
• Develop and implement A/B testing frameworks to validate hypotheses and measure model impact.
• Work with AI Engineers to prepare models for production, providing clean code and well‑engineered features.
• Implement governance, quality checks, and compliance standards (PDPA).
• Provide insights to business units through advanced analytics and visualization.

• Advanced degree (Bachelor or Master’s) in Statistics, Mathematics, Computer Science, Economics, or another highly quantitative field.
• Minimum of 5+ years of experience in a data science role with a proven portfolio of impactful projects.
• Significant experience (3+ years) in data engineering tasks, such as building ETL/ELT pipelines and data warehousing.
• Excellent analytical and problem‑solving abilities.
• Strong communication and interpersonal skills.
• Ability to manage multiple projects and deliverables simultaneously.

Seatrium (SG) Pte. Ltd.
Pioneer Yard
50 Gul Road, Singapore 629353
(Islandwide transport provided)

Monday – Thursday: 8:00 am – 5:15 pm
Friday: 8:00 am – 4:30 pm

Interested candidates are invited to send an updated resume with current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Your personal data disclosed to Seatrium Limited and its group of companies will be used for evaluation purposes in accordance with the Personal Data Protection Act 2012. By providing your personal data, you consent to the aforesaid purpose.

Seatrium Limited

Mid‑Senior level

Full‑time

Engineering and Information Technology

Shipbuilding