Top Data Science Jobs in Malaysia

Lead the strategy and roadmap for the Datajet platform, enhancing global search and personalization services while ensuring alignment with business priorities and cross-regional collaboration.

Lead Data Science efforts for specific markets, partnering with leaders to strategize around client needs and innovative solutions using data. Coach junior scientists and align with technology teams.

As a Supply Chain Intern, you will work on a project, using analytical skills to solve business problems while closely collaborating with leadership and stakeholders.

The role involves leading data science initiatives in supply chain, developing predictive models, optimizing processes, and driving AI adoption.

The Data Scientist will support Big Data analytics, engage in exploratory data analysis, develop machine learning models, and ensure regulatory compliance.

The candidate will collaborate with engineering and operations teams to develop and deploy data science solutions that enhance productivity, utilizing Generative-AI and various analytics technologies.

As a Senior Manager of Data Science, you'll lead data science efforts, collaborate with teams, innovate solutions, and mentor junior data scientists to meet business needs.

The Data Science Manager will lead efforts in consumer behavior analysis, support stakeholders, and develop methodologies and prototypes for Consumer Measurement products.

The Data Science Analyst will provide data-driven solutions for client requests, support client understanding of Data Science methodologies, create innovative solutions using diverse data sets, and automate existing processes.

Develop data solutions for business decisions by applying analytics, experimentation, and machine learning. Collaborate with teams to improve products and enhance decision-making processes.

The Data Science Analyst provides statistical support for studies, conducts analyses, prepares reports, and collaborates on analysis plans within a team.

The Data Science Intern will assist in data collection, analysis, and developing models, while learning practical skills in data science.