Data Scientist Công ty Cổ phần Bán lẻ Kỹ thuật số FPT

- Collaborate with business stakeholders to understand business challenges, and define optimal analytical approach. - Communicate 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 critical business problems (Customer Segmentation, Cross-sell/Up-sell, Customer Churn Prediction, etc.). - Collaborate with engineering and product development teams.

You’ll love working in our dynamic environment with >15.000 young & active employees, Honor & Award for the best employees who have great contributions to the company’s success, especially the awards night for the 50 best employees each year will be held overseas. Unique culture with many exciting activities: rookie training, 72 hours experience, team building, status quo, village festival ... Being trained by professionals, having many promoting opportunities to become managers in the leading technology groups in Vietnam, with more than 30,000 people and a professional environment. Obtaining full legal insurance coverage for yourself and your family with FPT-Care.

- 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/recommendations, 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 networks, CNN, RNN, etc. - Experience with common data science toolkits, such as Python, 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.