ANALYTICS AND MODELLING MANAGER Description Principal Responsibilities Mine, analyse, and model large structured and unstructured datasets, and apply advanced statistical predictive models and leading machine learning algorithms to explore strategic business opportunities and to formulate actionable recommendations.
Creatively translate business problems into data science initiatives with appropriate methodology (e.g., neural networks, Bayesian, regression, clustering, dimensionality reduction) and evaluate the results rigorously.
Apply the learning to business by managing the end-to-end campaign / MI production process, including collaboration with business users, leads generations, performance tracking, evaluation and presentation of business learning to senior management.
Quality and timely deliverables is required. Contribute to team development, effectiveness and success by sharing knowledge and good practice, working collaboratively with others to create a productive, diverse and supportive working environment.
Adhere to policy, procedures and control requirements applicable to day-to-day working, exceptional and project activities.
Requirements University degree in Mathematics, Statistics, Computer Science or other related discipline Minimum 8 years' working experience in analytics, modelling and machine learning With solid experience of application of machine learning in the context of the customer life cycle management across multiple distribution channels with effectiveness measurement and business learning Self-
Motivated, positive, passionate and willingness of continue learning Proficient in SAS (covering base SAS, SAS STAT, Enterprise Miner) and Microsoft R / Python (SciKit-
Learn, Keras, TensorFlow, Theano) Comfortable with mining massive volume of data for quick insight discovery Effective communication, interpersonal, organisational, problem solving, and presentation skills Detail-
oriented and zero tolerance on quality / accuracy issue Country Hong Kong Company MNC Salary Up to US$90,000 Working Hours Full-
Time Contract Permanent Categories Product Marketing / Market Research / Analytics Industries null