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/Ph D'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 Postgre SQL, My SQL, or equivalent.
Excellent communication skills including written, verbal and presentation.
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
Tìm hiểu về FPT tại đây
Quy trình tuyển dụng tại FPT tại đây
NƠI LÀM VIỆC: Tòa nhà Đại Minh, Số 77 Hoàng Văn Thái, Phường Tân Phú, Quận 7, TP. Hồ Chí Minh, Việt Nam
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