Data Scientist

ZENITH INFOTECH (S) PTE LTD.; Singapore; On-site; SGD 67,000 - 84,000; Full time

Job summary

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

The role requires translating business questions into analytical problems, building ETL pipelines, data warehousing concepts, and applying machine learning to large datasets. Onsite work at Central West Region with a competitive salary and bonus.

Qualifications

• Experience translating business questions into analytical problems.
• Experience with machine learning on large datasets.
• Strong knowledge of ETL processes.
• Knowledge of data warehousing and data modelling.

Responsibilities

• Gather requirements and translate them into analytical tasks.
• Design, develop and maintain ETL pipelines and analytics models.
• Build backend data stores and frontend analytics products.
• Tune performance and troubleshoot issues.
• Conduct end-user training and product demos.
• Support tech refresh and platform migrations.
• Perform regression testing and code quality checks.

Skills

SQL

Python

R

ML & Stats

ETL Fundamentals

Data Warehousing

Data Modelling

Agile SCRUM

Tools

QlikSense

PowerBI

Tableau

Informatica

Talend

Job description

Data Scientist

Company Overview

Zenith Infotech (S) Pte Ltd, founded in 1997, provides expert IT professionals and solutions to enhance productivity for clients including large IT firms, consulting organizations, system integrators, government agencies, and MNCs.

Overview

This project is about the digital transformation of the medical systems through the use of modern digital healthcare solutions, cloud technology, data analytics and AI.

Job Responsibilities

Work closely as part of the agile product team to design, develop, test and deploy data analytics products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the Product Manager

Key responsibilities

• Requirement gathering and translation of business questions into technical and 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
• Perform vulnerability assessments, code quality tests, user acceptance tests
• Conduct end-user training, handover training and product demonstrations
• Perform migration to new technologies where required (e.g., switching of ETL or analytics tools)
• Perform regression testing and code retrofitting to support tech refresh / platform migration

Job Requirements:

• Preferably have completed at least one (01) project using Scrum or equivalent Agile development framework.
• Experience in translating business questions into analytical problems and using statistical techniques to derive actional insights
• Experience in machine learning and statistical data analysis on large datasets.
• Strong knowledge of ETL (Extract, Transform, Load) processes
• Strong knowledge of data warehousing concepts and data modelling
• Proficiency in at least one tool / language under each of the following area:
• Relational Database Language (e.g., SQL)
• Programming Language for AI/ML/Statistical Studies (e.g., Python, R)
• Data Visualization Tool (e.g., QlikSense, PowerBI, Tableau) ETL Tool (e.g., Informatica, Talend)

Other Information

• Work Week: Monday to Friday (8:30 AM – 6:00 PM)
• Work Arrangement: Full Onsite - Central West Region
• Salary: S$6,000–S$7,500 (with guaranteed and variable bonuses)

Benefits:

• Annual Leave: 18 days
• Medical Leave: 14 days
• Group Medical Insurance
• Other leave benefits as per MOM guidelines

EA 20S0237