U Mobile Hiring! Full Time Manager, Data Scientist in Federal Territory - Ricebowl

Life at U Mobile
We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.
At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.
Let’s start your journey with an award-winning organization!
#UnbeatableCareerAwaits
Top Reasons To Join Us!

• Awarded For
• Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
• Bronze Winner in Cross-Generational Workforce Engagement (2024)
• Gold Winner for Excellence in Workplace Culture (2021)
• Comprehensive medical, dental, optical and insurance benefits
• Flexi working hours arrangements
• Staff Line & Device Subsidy
• Smart Casual Attire
• Child Parental Care Leave
• Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
• Special employee discounts for selected F&B Brands
  

The Day-To-Day Activities

• Lead End-to-End Personalization, Targeting & Decisioning Use Cases
• Lead and be accountable for the end-to-end lifecycle of machine learning and rule-based decisioning solutions for personalization, including targeting, pricing, and recommendations across products.
• Set the strategic direction by translating business objectives into modelling and targeting strategies, success metrics, and a prioritized delivery roadmap.
• Own commercial outcomes, ensuring initiatives deliver measurable take-up, ARPU uplift, and revenue growth.
• Own Modelling Data Strategy & Training Dataset Layer
• Define and govern training datasets, feature tables, and labels to ensure long-term scalability and reuse.
• Establish data standards and controls to ensure modelling data accuracy and alignment with business definitions.
• Continuously evolve the modelling data foundation to enable new use cases, improved performance, and faster deployment.
• Build, Enhance & Operationalise Models and Decision Rules
• Oversee the development and enhancement of machine learning models and rule-based decisioning for targeting, pricing, and recommendations.
• Drive continuous optimisation of model performance to maximise business impact.
• Ensure operational readiness, scalability, and stability of models for BAU personalization and campaign execution.
• Drive Targeting Strategy & Commercial Optimisation
• Act as the key decision partner to Product and Business Analytics in designing and optimising targeting strategies using model outputs.
• Define decision frameworks on how scores, rules, and segments translate into offers, pricing, and campaign logic.
• Continuously refine targeting strategies to maximise take-up, ARPU, and revenue impact.
• Own Performance Measurement, Uplift & Governance
• Define and own governance frameworks to measure model and targeting performance, including take-up, ARPU, and revenue uplift.
• Lead monitoring and intervention on model stability, performance drift, and targeting effectiveness against control or baseline.
• Provide performance insights and recommendations to senior stakeholders to guide optimisation and investment decisions.
  

About You

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative fields.
• Relevant professional experience with demonstrated depth in applied analytics and decisioning may be considered in lieu of formal academic specialisation.
• Minimum 3 years of experience in data analytics, data science, or applied machine learning within a commercial or production environment.
• Strong expertise in SQL and working with large-scale, complex datasets in production systems.
• Strong practical experience using Python (or similar) for data analysis, feature engineering, and model development.
• Demonstrated experience leading or overseeing the development, validation, and deployment of predictive models and decisioning logic.
• Proven ability to evaluate, improve, and scale modelling approaches to ensure robustness, stability, and long-term usability in business environments.
• Experience defining and governing performance measurement frameworks, including uplift analysis and outcome tracking.
• Strong commercial mindset, able to translate business objectives into effective analytics and decisioning strategies.
• Clear and influential communicator, able to explain complex technical topics to non-technical stakeholders.
• Leadership-oriented and structured, comfortable providing guidance and operating in a cross-functional environment.
  

What’s Next ?Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.