Work with business analysts of BUs/SUs to identify the business requirements and the expected deliverables
Build, validate, test, and deploy machine learning or other data science models to predict and influence customers behavior with the goal of delivering better customer experience and optimizing products & processes
Test and validate insights (e.g. A/B testing) via rapid experimentation and deployment
Execute on BUs/SUs analytics problems and communicates results and methodologies.
Employs appropriate algorithm to discover patterns (e.g. transactional data)
Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media
Partner with data stewards in continuous improvement processes impacting data quality
Works with data engineers and MIS to support data collection, integration and management based on BUs input. Identify and analyze patterns in the volume of data supporting initiatives, types of data (e.g. text, clickstream, voices) and the speed or sudden variation in data collection
Qualification :
Bachelor's, or Master's degree in Data Science, Engineering, Statistics, Mathematics, Operations Research or relevant
Advanced knowledge of machine learning and big data analytics.
Familiarity with unstructured data, NLP, Text Mining, Graph Theory, Deep Learning.
Technical Skills : SQL,Python, R, Tableau.
Experiences with Hadoop, PySpark, Hive, Scala, Kafka, Impala etc.
Strong passion and ability to ask relevant business questions to leverage the Bank's customer and external data
Proactive personality with initiative, resourceful, enthusiasm, and able to think on his own idea
Strong capabilities to communicate clearly both in writing and presentations in Thai and English
