CHI TIẾT CÔNG VIỆC
-
Collaborate with business stakeholders to understand business challenges, define optimal analytical approach.
-
Communicating findings and recommendations and collaborate with other partners.
-
Propose solutions and strategies to business challenges.
- Propose & take part in the implementation of optimal solutions regarding data sharing.
-
Mine and analyze large-scale data sources (both structured and unstructured) to uncover insights, issues and opportunities and recommend solutions.
-
Undertaking data collection, preprocessing and analysis.
-
Build, validate and deploy machine learning and/or deep learning models to solve the critical business problems (Customer Segmentation, Cross-sell/Up-sell, Customer Churn Prediction, etc.).
-
Collaborate with engineering and product development teams.
-
Provide technical sharing/training to team members.
YÊU CẦU 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.
QUYỀN LỢI
- Attractive income according to ability.
- Full benefits according to labor law.
- Annual health care; FPT care health insurance for employees (Support for medical examination and treatment costs at all hospitals); Taking care of the spiritual life of employees and relatives, etc.
- Friendly, open, young working environment, unique culture.
- Annual leave, holidays and participate in large-scale cultural activities of the Corporation
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