Junior Data Scientist: Automation & Dashboards Focus

Centific Global Solutions (M) Sdn Bhd; Penang; On-site; MYR 67,000 - 112,000; Full time

Job summary

Centific Global Solutions (M) Sdn Bhd in Malaysia is seeking a candidate to develop and maintain automated test data visualization tools, integrating Python and frontend technologies to deliver HTML outputs. This role offers growth toward a Data Scientist path, focusing on automated data pipelines and dashboards.

The successful applicant will collaborate with cross-functional teams, document procedures, and stay current with industry trends to improve the data automation process and support new

Responsibilities

• Develop and maintain automated test data visualization tools with HTML outputs, integrating Python, frontend (JS, CSS), and backend technologies.
• Leverage client AI coding tools to accelerate development and debugging of visualization and automation scripts.
• Analyze test data and results to identify anomalies, debug issues, and provide scalable & quantitative report.
• Troubleshoot and debug issues in the automation framework and test scripts to ensure consistent and reliable validation results.
• Transition long-term to Data Scientist role, developing and maintaining automated data pipeline and dashboards.
• Document automation user guidelines, procedures, and equipment configurations.
• Collaborate with cross-functional teams to understand requirements, design solutions to automate the validation process, and support New Product Introduction (NPI).
• Stay up-to-date with industry trends and emerging technologies to enhance the data automation process.

Job description

Centific Global Solutions (M) Sdn Bhd in Malaysia is seeking a candidate to develop and maintain automated test data visualization tools, integrating Python and frontend technologies to deliver HTML outputs. This role offers growth toward a Data Scientist path, focusing on automated data pipelines and dashboards.

The successful applicant will collaborate with cross-functional teams, document procedures, and stay current with industry trends to improve the data automation process and support new