222 Pasteur, Phường Võ Thị Sáu, Quận 3, Thành phố Hồ Chí Minh
Đăng 1 năm trước
Mô tả công việc
Giới thiệu về công ty
Trách nhiệm công việc
Work with experienced data scientists and machine learning engineers to build/improve large-scale learning applications (e.g., demographic prediction, churn detection, email campaign optimization, user segmentation, recommender systems, ad optimization, etc).
Work closely with the IT team to maintain and improve existing data science applications.
Produce comprehensive and clear documentation.
Kỹ năng & Chuyên môn
Minimum of 4 years in product development and 1-2 year as data scientist.
Hands-on experience with Hadoop ecosystems technologies like HDFS, Spark, etc.
Industry experience in designing and implementing recommender systems is a plus.
Knowledge of (rep. transfer for) reinforcement learning and natural language processing is a plus.
Practical experience with cloud based services like AWS is a plus.
Strong coding experience in Python/Scalar, C++
Good English
An advanced degree (Masters, Ph.D) in a field related to data science (i.e., applied mathematics, statistics, machine learning, or computer science).
Experience with statistical machine learning, AI, i.e., must have demonstrated excellence in at least three of the following methods/techniques: Random forests, Linear/Logistic regression,regularization techniques, Support vector machines, Factorization machines, Gradient boosting, Clustering techniques, SVD, ALS, etc.
Knowledge of deep learning (tools: TensorFlow, Keras, PyTorch; networks: CNN, LSTM, ...)
Ability to read research papers and implement them in practice.
Phúc lợi dành cho bạn
Salary: Competitive and Negotiable
Working time: 8:30 - 17:30, Monday - Friday
Insurance: Fully entitled social welfare regimes in accordance with Vietnamese law
Paid leave: 14 days of Annual leave per year
Performance review once a year
Activities: Company events & activities
Annual health checkup for employee
Professional, dynamic, friendly working environment with high promotion opportunities
All regimes as prescribed by the State (health insurance, social insurance, ...)
