PVH (Tommy Hilfiger/Calvin Klein) Hiring! Full Time Assistant Vice President, Data Scientist in WP Kuala Lumpur - Ricebowl

We are seeking an experienced Data Scientist (AVP) to drive advanced analytics, machine learning, AI, and data‑driven decision‑making across Astro, with primary focus on PayTV, Sooka, Media Sales, Digital Products, Customer Lifecycle Management, and Commercial Growth initiatives. This role will lead the development of end‑to‑end data science solutions, from problem framing and data discovery to model deployment, monitoring, and business value realization.

• Lead the design, development, deployment, and continuous improvement of predictive, prescriptive, and AI‑driven solutions across customer acquisition, retention, churn management, upsell/cross‑sell, content consumption, and marketing optimisation.
• Own the end‑to‑end machine learning lifecycle, including:
  • Business problem definition
  • Data sourcing and feature engineering
  • Model development and validation
  • Performance monitoring and retraining
  • Business impact measurement
• Develop and implement advanced analytics solutions using machine learning, statistical modelling, causal inference, forecasting, optimisation, and GenAI techniques.
• Partner closely with business stakeholders to identify opportunities, prioritise use cases, and translate business challenges into scalable analytical solutions.
• Leverage customer, transaction, operational, digital, and third‑party data sources to generate actionable insights and recommendations.
• Drive experimentation frameworks such as A/B testing, uplift modelling, customer segmentation, and personalization strategies.
• Collaborate with data engineering teams to establish robust data pipelines, data quality standards, and scalable analytics platforms.
• Lead and mentor data scientists and analysts, fostering a high‑performance, data‑driven culture.
• Present insights, recommendations, and model outcomes effectively to senior management and cross‑functional stakeholders.
• Familiar with digital analytics platforms such as Google Analytics 4 (GA4) or similar tools.

• Master’s degree or higher in Statistics, Mathematics, Computer Science, Data Science, Actuarial Science, Engineering, Economics, or a related quantitative discipline.
• 10+ years of experience in data science, machine learning, advanced analytics, or AI‑related roles.
• Demonstrated success in delivering end‑to‑end data science projects from ideation through production deployment and business adoption.
• Strong stakeholder management and leadership skills with the ability to influence decision‑making at senior management levels.
• Excellent problem‑solving, communication, and presentation skills.
• Advanced proficiency in Python, SQL, PySpark/Spark, R (optional).
• Experience with large‑scale data processing and distributed computing frameworks.
• Familiarity with data engineering concepts, ETL/ELT pipelines, feature stores, and data orchestration tools.
• Experience in Digital Analytics and customer behavioural analytics.

• Supervised and unsupervised learning
• Classification and regression models
• Time‑series forecasting
• Ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
• Clustering and segmentation
• Recommendation systems
• NLP and text analytics
• Deep Learning
• Generative AI and Large Language Models (LLMs)
• Retrieval‑Augmented Generation (RAG)
• Customer propensity and churn modelling