Espace Recruteurs

Manager/Senior Manager, Data Science

China CITIC Bank International Limited
Hong Kong
Mise en ligne il y a 4 jours CDI Competitive

Key Accountabilities:

  • Deliver data driven use case with squad team running in Agile mode
  • Build next-best action framework by applying cutting edge models to acquire/engage and retain customers
  • Design data models/ pipeline required for modeling
  • Review and validate models effectiveness and performances
  • Support campaign management by:
    • Pre-campaign analysis and targeting
    • Generating targeted customer base
    • Performing campaign tracking and post evaluation
    • Campaign fulfillment
    • Campaign Evaluation and Review
    • Provide analysis to facilitate Marketing for campaign designs and marketing strategy setting
    • Build and enhance data model to improve efficiency and accuracy
    • Gather market statistics to conduct competitor analysis and model the bank’s market position
  • Advise on appropriate analytical models based on available data, technology and platform
  • Prepare reports based on analysis and present to management with strategic actionable insights
  • Translate unstructured business questions into quantitative problems
  • Generate and test hypotheses, analyse and interpret the results of product experiments
  • Develop & maintain various performance dashboard by Tableau
  • Work closely with internal stakeholders and external vendors on project planning and execution

 

Requirements :

  • Degree in Mathematics, Statistics, Data Science, Computer Science or relevant disciplines
  • Possesses 3-5 years' experience relating to data analytics, data mining, statistical modeling, predictive analytics, next to buy model, machine learning or data science related work
  • Proficiency in SAS, SASEM, MS Access, R, or other statistical / data science language
  • Proficiency in Big Data development experience (e.g. Hive, Spark Cloudera) and hands-on knowledge of Python and related analytics libraries
  • Implementation experiences of statistics, decision tree models, k-means clustering, logistic regression, Neural, random forest, xgboost etc.
  • Knowledge of real project experience with machine learning/ deep learning model development and tuning on vision, NLP will be an advantage
  • Implementation experiences in google cloud platform will be an advantage
  • Good analytical mindset and problem solving skills
Référence  111005/AAY
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