• Frame the business problem and evaluate if it can be resolve by data science solutions
• Find actionable insights from data through applying various data analytics and modeling techniques
• Select the right analytic techniques and set of potential algorithms to resolve complex business questions
• Collaborate with Data Management team to identify data requirement, pipeline as input to the data analytics and modeling process
• Perform the series of experiment with data and multiple algorithms
• Evaluate the modeling results and identify the best candidate models to implement into production
• Convert statistical results into consumable information for business usage

- Work with data model to provide recommendation on data schema (data size, data type, possible values, data integration / data reference, granularity and cardinality of data
- Consisting of source system, business analysts, business users to define technical and business reconciliation process / logic according to ETL process
- Work with business users or business analysts to understand, business process, data flow, application integration related to particular source system / bank's products

- Motivate a team of data analytics and a Strong desire to work In a team environment
- Knowledge in Data analytic

-บริการลูกค้า
-รับออเดอร์จากลูกค้า รับชำระค่าสินค้า และชงเครื่องดื่มตามในออเดอร์