Data Scientist

Location: Malaysia

About the Role

Are you passionate about AI, machine learning and developing innovative technology solutions? We are looking for an experienced Data Scientist with a background in Retail Computer Vision to join our RetailAIM team.

You will be responsible for researching, designing and developing next-generation AI-powered solutions for the retail industry. Working closely with our IT and engineering teams, you will turn complex data into practical machine learning solutions, with a focus on computer vision, object detection and multi-object tracking.

Key Responsibilities

• Work closely with IT and engineering teams to identify business challenges, analyze data and develop data-driven solutions.

• Evaluate data sources and collection methods, establish data pipelines and improve data quality for machine learning applications.

• Design, develop and optimize machine learning algorithms, statistical models and experiments to solve real-world business problems.

• Explore, process and visualize datasets to identify patterns, data distribution issues and opportunities to improve model performance.

• Research, develop and test machine learning models, prototypes and proof of concepts, selecting suitable approaches for real-world deployment.

• Support the deployment and optimization of AI solutions using cloud platforms such as Azure, AWS or Google Cloud.

• Stay up to date with emerging AI and machine learning technologies, identifying opportunities to apply new techniques and solutions across the business.

Requirements

• Bachelor's degree in Data Science, Computer Science, Information Technology or a related discipline, or equivalent practical experience.

• Relevant experience in Data Science, Machine Learning or AI development, preferably within retail computer vision applications.

• Hands-on experience with computer vision, object detection and/or multi-object tracking.

• Strong understanding of machine learning algorithms, statistical techniques, data analysis and model evaluation.

• Experience with cloud platforms such as Azure, AWS or Google Cloud.

• Strong analytical, problem-solving and research skills.

• Excellent communication and interpersonal skills, with the ability to collaborate across technical and business teams.

• Curious, self-driven and passionate about exploring emerging technologies and applying AI to solve practical business challenges.