Conduct fare structure reviews, fare elasticity analysis and financial evaluations for fare products. Execute strategic initiatives/projects, ensuring timely completion and consistent alignment with the objectives.
Provide economic, ridership, statistics and operational insights or data/ input to support government agenda (e.g. NACCOL, My50, Buku Statistik Pengangkutan, Sesi Pemukiman Daya Saing Negara).
Perform other related duties as assigned to support organisational mission and objectives.
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Use GenAI tools (like Cursor or Gemini) and basic system-thinking to automate routine metric reviews and alerts, freeing up your time for deeper threat investigations.
Use components of our Auto-Adaptive risk frameworks as tools to help in the operational validation and refinement of safety and risk rules.
Contribute to foundational data initiatives, such as metric onboarding, data pipeline cleanups, and architectural efficiency, ensuring the data we use for risk detection remains robust and reliable.
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Assemble large, complex data sets (Extract, transform and load) that meet functional / non-functional business requirements
Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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Event Optimization: Direct the BD team during live pop-ups, fairs, and events to implement high-converting, gamified retail tactics.
Data-Driven Iteration: Constantly run experiments on user acquisition costs (CAC) and customer lifetime value (LTV) to build frictionless paths to purchase.
Weaponize Data: Use internal AI community data to identify pipeline bottlenecks and validate new sales initiatives.
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Possess a solid understanding of business information and documents, including but not limited to financial reports, inventory records, and production schedules.
Leveraging BI tools to extract actionable insights from data. Ensure the accuracy and integrity of information within the ERP system, enabling informed decision-making at all levels.
Develop and implement system logic enhancements to support evolving business requirements.
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