Junior Data Scientist: Automation, Dashboards & Pipelines

Centific; Kuala Lumpur; On-site; MYR 67,000 - 100,000; Full time

Job summary

Centific in Malaysia (Penang) is seeking a Junior Data Scientist to develop and maintain automated test data visualization tools, blending Python with frontend skills to produce HTML outputs and dashboards.

You will leverage client AI coding tools to accelerate development, analyze data to identify anomalies, and troubleshoot automation frameworks to ensure reliable validation results. The role offers growth toward data science responsibilities and cross-functional collaboration.

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 in Malaysia (Penang) is seeking a Junior Data Scientist to develop and maintain automated test data visualization tools, blending Python with frontend skills to produce HTML outputs and dashboards.

You will leverage client AI coding tools to accelerate development, analyze data to identify anomalies, and troubleshoot automation frameworks to ensure reliable validation results. The role offers growth toward data science responsibilities and cross-functional collaboration.