Data Scientist MTI TECHNOLOGY

- Participate in the entire lifecycle of data science projects, from problem definition to solution delivery, and maintenance. - Develop, test, and evaluate data hypotheses, methods, and models using appropriate techniques and tools. - Collaborate with engineers to implement scalable and robust data pipelines and systems. - Stay updated on the latest research and trends in data science. - Analyze client data and business needs to identify opportunities and propose data-driven solutions. - Communicate and present your findings and recommendations to clients and stakeholders clearly and effectively. - Lead data science projects as well as provide guidance/mentorship to junior data scientists

05 working days/week (From Monday to Friday), applying flexible working hours 3 days of remote WFH per week (based on the team's decision) Lunch + Gasoline + Coffee Allowance Health, Social, and Unemployment Insurance (based on gross-based salary, according to Labor Code) and PVI Health Insurance 13th-month salary and Performance bonus 12 days annual leave plus an extra 02 days of company leave Company trips, sponsored team building, monthly Happy Hour, Sports Clubs (Soccer, Badminton, Pingpong, Yoga), and other joyful events;

- Be fluent in English. - Have a bachelor’s degree in Computer Science, Applied Mathematics, or related fields. - Be proficient in Python (numpy, pandas, tensorflow/pytorch) and SQL. - Have at least 5 years of industrial experience in NLP and/or Machine Learning (tabular data). - Be good at communication and presentation: able to communicate with non-tech stakeholders to understand business as well as present technical solutions. - Have excellent problem-solving skills. - Be self-motivated and eager to learn new technologies.