CHI TIẾT CÔNG VIỆC
- Bachelor/Master/PhD's degree in a relevant technical discipline (Math, Engineering, Computer Science, Statistics or similar field).
- Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques/ recommendation and optimization algorithms is required.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Understanding deep learning models, such as simple neural network, CNN, RNN, etc.
- Experience with common data science toolkits, such as Python, or R, etc.
- High-level experience in methodologies and processes for managing large scale databases.
- Experience working with databases such as PostgreSQL, MySQL, or equivalent.
- Excellent communication skills including written, verbal and presentation.
YÊU CẦU CÔNG VIỆC
QUYỀN LỢI
· Great opportunity to dive deeply into a big data system with high volume of data in challenging domains
· Challenging working environment, open for new ideas and solutions
· We often conduct presentations to improve our individual skill sets, sharing our domain knowledge together
· You are encouraged to contribute ideas, corporate with the others and get your ideas to work efficiently
· Unique culture with many exciting activities: rookie training, 72 hours experience, team building, village festival, club, color fest, happy hour, birthday celebration,...
· Obtaining full legal insurance coverage with FPT-Care (official employee)
THÔNG TIN THAM KHẢO
NƠI LÀM VIỆC:
Tòa nhà Đại Minh, Số 77 Hoàng Văn Thái, Phường Tân Phú, Quận 7, TP. Hồ Chí Minh, Việt Nam
