Tìm Việc Làm data scientist
Công việc liên quan
Hạn nộp: 16/02/2019 Thỏa thuận
Navigos Searchs Client is one of the leading financial company in Vietnam with a sustainable financial foundation and an innovative culture. In order to advance the technology application, they are opening for the vacancy of Data Scientist / Data Engineer. The Data Scientist will need to work with business users to develop analytics use case and deploy advanced analytics to get business insights, develop reports and dashboards for related parties. The responsibilities include: * Built and operate the data process model, deliver efficient models independently or work in team. * Incorporate with other parties to receive and process the feedback after establishing the model. * Closely support users to optimize the quality and quantity of the insights. * Conduct risk management for data analysis, detect the problems, propose and quantify the impact of proposed measures
Hạn nộp: 15/02/2019 1 - 3 triệu
Địa điểm làm việc: 106 Hoàng Quốc Việt, Cầu Giấy, Hà Nội Số lượng cần tuyển: 01 người Loại hình công việc: Toàn thời gian cố định (Từ thứ 2 đến thứ 6) Mức đãi ngộ: Thỏa thuận theo năng lực của cá nhân Hạn chót nhận hồ sơ : 31/12/2018 - Thiết kê xây dựng hệ thống phân tích số liệu thông minh (Analytics, BI) - Nghiên cứu, xây dựng các giải pháp, các mô hình thực thi (dự đoán, phân lớp, phân cụm, v.v.) trên nền tảng BigData và Machine learning
Hồ Chí Minh
Hạn nộp: 09/02/2019 Thỏa thuận
Objective: - Prepare ad hoc analysis based on business process owners needs and requirements - Develop statistical and maintain models for collections segmentation evaluation, collections strategies and financial planning - Help to find space for collections process improvements - Enhance usage of Oracle DWH in the local analytical team - Ability to interpret the data and analysis result is considered as essential. Key responsibilities/duties: - Improvements in Collections process based on analysis and observation - Data mining and ad-hoc analysis - Reading reports, track collections performance and be able to react - Proactively proposing changes and recommendations - Supporting efficiently all collections departments - Monitor segmentation models, understand them, potentially build new one
Hồ Chí Minh
Hạn nộp: 02/02/2019 7 - 10 triệu
We are looking for a junior data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. The junior data scientist under the supervision from our advisor will be in charge to build our recommendation systems to make our system personalized for each of the users, and also our chatbots, and improve and extend the features used by classifiers. The scientist should also be able to develop internal A/B testing procedure and build system for automated fraud detection in near future. Responsibilities • Selecting features, building and optimizing classifiers using machine learning techniques. • Data mining using state-of-the-art methods. • Extending company’s data with third party sources of information when needed. • Enhancing data collection procedures to include information that is relevant for building analytic systems. • Processing, cleansing, and verifying the integrity of data used for analysis. • Doing ad-hoc analysis and presenting results in a clear manner. • Creating automated anomaly detection systems and constant tracking of its performance.
Hồ Chí Minh
Hạn nộp: 13/01/2019 Thỏa thuận
Job Description TMA (http://www.tmasolutions.com) is a leading software company in Vietnam with 2,400 engineers and 21 years of experience in providing quality services for leading technology companies from 27 countries. We’re looking for senior data scientists to work on machine learning, data mining, and statistical modeling for predictive and prescriptive enterprise analytics. Applicants will be expected to work with a diverse set of data sources, such as time series data, spatial, graph data, semi structured and unstructured data, and build statistical/machine learning models in support of on demand, real-time analytic services.
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