MSB
Objectives:
- The job holder investigates business problems, extract, analyze and interpret large amounts of data from a range of sources, using advanced algorithmic, data mining, artificial intelligence, machine learning, deep learning, data visualization and statistical tools, in order to make it accessible to businesses and deliver pre-agreed specific business KPIs.
- The job holder initiates and supervises the setup of ML projects together with business to generate pre-agreed KPI-driven solutions using state-of-the-art DS methods, processes, systems and tools on structured & unstructured, diverse Big Data sources.
- The job holder is required to take initiative in experimenting various technologies and tools with vision of creating innovative data driven solutions for the business at the quickest pace possible and keep current with technical and industry developments.
Key Responsibilities:
- Mine, profile, clean and analyze data from company’s databases to drive optimization and improvement of product development, customer journey experiences, revenue uplift, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of multiple data sources and data gathering techniques.
- Know at all times your data (size, average, distributions, outliers, etc.) and be able to estimate model output, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results). Analyze data for trends and patterns and interpret the data with clear objective and outcome in mind.
- Translate business problems into data analytics ones, build algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including classification, regression, recommendation engines, clustering, time series forecasting, probabilistic & statistics modeling, etc.
- Collaborate with use case leads and campaign teams for end-to-end analytics use cases with baselining, modeling, stratified sampling, A/B testing design and go-to-market plan.
- Execute and review data science projects in an Agile manner and in compliance with internal regulatory requirements.
- Develop processes and tools to monitor and analyze model performance and prediction accuracy.
- Guarantee machine learning models are developed with modular, maintainable & scalable code bases.
As a senior data scientist, you will also:
English
Nói: Intermediate - Đọc: Intermediate - Viết: Intermediate
Over 28 years of establishment and development, MSB has constantly created many breakthrough milestones in the banking industry:
From 2009 to 2010, MSB developed a long-term / scale business strategy in consultation with McKinsey International.
In 2015, MSB became one of the leading joint stock commercial banks in terms of charter capital & network by merging Mekong Development Commercial Joint Stock Bank & acquiring Vietnam Textile and Garment Financial Joint Stock Company.
In 2018, MSB continues to pioneer the application of 4.0 technology and becomes the first bank to apply artificial intelligence (AI) to credit card issuance & successfully integrate QR code payment method with 2 partners. The major partner is Vnpay & Payoo.
In 2019, MSB will implement a comprehensive change from brand recognition to experience model to become the most reliable bank, with the best customer understanding and high profitability in Vietnam.
