CÔNG TY CỔ PHẦN GIẢI PHÁP THANH TOÁN VIỆT NAM (VNPAY)
Hồ Chí Minh
Thỏa thuận
Phát triển và triển khai các mô hình MachineLearning/AI phục vụ cho các bài toán liên quan Marketing, Strategy, CustomerGrowth và các nhu cầu kinh doanh liên quan.
Có kiến thức và kinh nghiệm về các thuật toán MachineLearning (ưu tiên GradientBoosting, LightGBM, XGBoost).
Collaborate closely with Product, Growth, Marketing, CRM, and Data Platform teams to deploy models into production and monitor performance accuracy and drift on a quarterly basis
Optimize data querying and processing workflows using SQL, NoSQL, and Python
Ngân Hàng TNHH MTV Shinhan Việt Nam - Shinhan Bank
Hồ Chí Minh
thỏa thuận
University degree or higher in related fields such as: Computer Science, Mathematics/ Applied Mathematics, Statistics, Data Science, Econometrics, Quantitative Finance, or fields related to data analysis and information processing
Proactively propose, design, and be responsible for implementing data science solutions, closely coordinating with business units to solve highly applicable practical problems
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Hồ Chí Minh
Thỏa thuận
Lead discussion with Data Scientists to understand the data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster
Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
Ngân hàng Thương mại Cổ phần Kỹ Thương Việt Nam (Techcombank)
Hồ Chí Minh
Thỏa thuận
Lead discussion with Data Scientists to understand the data requirements and create re-usable data assets to enable data scientists to build and deploy machine learning models faster
Deliver functionality required for business and data analysts, data scientists and other business roles to advance the overall analytic performance and strategy of the bank
Data Architecture & Pipeline Engineering: Design, develop, and maintain scalable ETL/ELT pipelines to move and transform data from disparate sources into our Data Warehouse/Data Lake
Product-Centric Data Modeling: Collaborate closely with Product Owners to understand feature roadmaps and design data models that align with business logic and user needs
Data Architecture & Pipeline Engineering: Design, develop, and maintain scalable ETL/ELT pipelines to move and transform data from disparate sources into our Data Warehouse/Data Lake
Product-Centric Data Modeling: Collaborate closely with Product Owners to understand feature roadmaps and design data models that align with business logic and user needs