- Experience Range: From 3 years
- Job Location: HCM city
- Duty & Responsibilities:
You will understand the power of data as you creatively push boundaries with teams, stakeholders and peers to reshape how the organisation visualises data and solution; support the direction of technology platforms; drive innovation with a sense of purpose that will ultimately enhance our customer and system interactions.
– Engaging with stakeholders to gather requirements
– Build, test and deploy Machine Learning models
– Story telling/Present the results to relevant stakeholders
– Document model lifecycle
– Provide technical support to business users
– Work alongside with engineers to ensure data availability
– Have 3+ years of experience as a Data Scientist in one of following domains: banking/finance/fintech, e-com, marketing, risk management, …
– Strong working experience with text data
– Ability to breakdown complex business problems and analyze them by employing a variety of analytical techniques
– Hands on experience in building analytical or data solutions that can be operationalized and deployed into a production environment
– Experience data management and governance processes required at complex enterprises
– High competence in an analytical systems scripting language, e.g., Python and R (SAS would be a plus).
– Good understanding of probability and statistics
– Experience in building supervised and unsupervised machine learning models and demonstrated understanding of how various techniques work and the limitations of each.
– Skilled in data visualization, demonstrated capabilities in telling a story around data.
– Knowledgeable in experimental design and execution.
– From the 1st day at work: 100% full of salary
– Insurance plan based on full salary + 13th salary + Performance Bonus.
– 18 paid leaves per year
– Medical Benefit for employee and family
– Working in a fast paced, flexible, and multinational working environment. Chance to travel onsite (in 50 countries).
– Internal Training (Technical & Functional & English).
– Working from Mondays to Fridays.
- Preferred Language for Application: