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Top Data Science Jobs in Malaysia

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17 Days Ago
Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, MYS
1,419 Employees
Senior level
1,419 Employees
Senior level
Marketing Tech • Software • Analytics
As Manager of Data Science & Analytics, you will lead a team of technical analysts, manage project delivery for clients, collaborate with cross-functional teams, and develop innovative data solutions while fostering client relationships and mentoring junior staff.
5 Days Ago
3 Locations
525 Employees
Senior level
525 Employees
Senior level
Fintech • Payments • Financial Services
This role involves leading the data analytics and data science strategy, overseeing data collection and analysis, and implementing data-driven solutions to improve business performance and risk management. Responsibilities include team leadership, stakeholder collaboration, and driving business impact through analytics initiatives.
24 Days Ago
Petaling Jaya, Petaling, Selangor, MYS
73 Employees
Mid level
73 Employees
Mid level
Mobile • Software
The Assistant Manager, User Growth & Strategy will support business development initiatives within the Regional GrabAds SMB Strategy & Planning team, promoting self-serve advertising services. Responsibilities include driving budget alignment, setting KPIs, managing demand planning initiatives, and fostering advertising merchant growth while collaborating with various stakeholders.
24 Days Ago
Petaling Jaya, Petaling, Selangor, MYS
73 Employees
Senior level
73 Employees
Senior level
Mobile • Software
The Senior Data Scientist will collaborate with various teams to use data for product innovation, conduct A/B tests, analyze results, develop insights, and mentor junior team members. Responsibilities include designing experiments, building dashboards, and maintaining data pipelines to support business and product decisions.
24 Days Ago
Petaling Jaya, Petaling, Selangor, MYS
73 Employees
Senior level
73 Employees
Senior level
Mobile • Software
As a Lead Data Scientist in Mobility Analytics at Grab, you will analyze data to drive product innovation, design and evaluate experiments, collaborate with various teams, and mentor junior members. You will also develop scalable analytical frameworks and communicate data insights effectively to stakeholders.
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