Data Scientist

Posted 8 Days Ago
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Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
In-Office
Entry level
Events • Marketing Tech
The Role
Develop AI-based retail solutions using machine learning, computer vision, and statistical techniques. Responsibilities include improving data collection, building and testing algorithms, designing experiments, conducting research, creating prototypes, analyzing data distributions, supervising data acquisition, and communicating insights. The role also requires collaborating with IT, identifying strategic applications for models and datasets, and staying current with machine learning research and technology.
Summary Generated by Built In
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.

Skills Required

  • Bachelor's degree in Data Science, Computer Science, Information Technology, or a related subject, or equivalent formal training or work experience.
  • Experience with Azure, AWS, or Google Cloud.
  • Experience with computer vision, object detection, and/or multi-object tracking.
  • Strong interest in current machine learning research.
  • Strong analytical and problem-solving skills.
  • Excellent interpersonal and communication skills.
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The Company
HQ: Kuala Lumpur, Kuala Lumpur
167 Employees
Year Founded: 2000

What We Do

We are Always Marketing, one of the largest Field Marketing service agencies in Malaysia. Our headquarter office based in Shanghai and we have offices in Hong Kong and Taiwan. We provide a full spectrum of Total Field Marketing Solutions: “Sell In" to “Sell Out", “Activation Strategic Planning”, “On-The-Ground Execution” and Service Offerings, including Promoter & Field Marketer Management, In-Store Activation / Promotion, Retail Audit / Mystery Shopper, Event / Road Show, POSM Management and Premium / Gifting.

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