Healthcare Data Scientist - AI, ETL & Dashboards (Onsite)

Zenith Infotech Pte Ltd.; Singapore; Presencial; SGD 67 000 - 84 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual Leave 18d

Medical Leave 14d

Group Medical Insurance

MOM guidelines leave

Resumo da oferta

Zenith Infotech (S) Pte Ltd is hiring a Data Scientist in Singapore to join an agile product team. You will design, develop, and deploy data analytics products, including dashboards, reports, and ML models, guided by the Product Manager.

The role focuses on translating business questions into analytical problems, building robust ETL pipelines, and contributing to cloud-based digital healthcare analytics initiatives. Experience with Scrum is preferred.

Qualificações

• Experience translating business questions into analytical problems.
• Experience in machine learning and statistical data analysis on large datasets.
• Strong knowledge of ETL processes.
• Strong knowledge of data warehousing concepts and data modelling.
• Proficiency in at least SQL, Python or R, and data visualization tools.

Responsabilidades

• Requirement gathering and translating business questions into analytical requirements.
• Carry out data audits and technical feasibility assessments.
• Design, develop, implement and maintain backend ETL pipelines, AI/ML models, database tables, and frontend data analytics products.
• Performance tuning and troubleshooting.
• Conduct end-user training, handover training and product demonstrations.
• Perform migration to new technologies as needed (ETL or analytics tools).
• Regress testing and code retrofitting to support platform migrations.

Ferramentas

SQL

Python

R

QlikSense

PowerBI

Tableau

Informatica

Talend

Descrição da oferta de emprego

Zenith Infotech (S) Pte Ltd is hiring a Data Scientist in Singapore to join an agile product team. You will design, develop, and deploy data analytics products, including dashboards, reports, and ML models, guided by the Product Manager.

The role focuses on translating business questions into analytical problems, building robust ETL pipelines, and contributing to cloud-based digital healthcare analytics initiatives. Experience with Scrum is preferred.