Description

 Data Analysis and Modelling: 

• Conduct exploratory data analysis to understand complex datasets and identify patterns, trends, and insights. 

• Develop statistical and machine learning models to solve business problems and optimize processes. 

• Apply data cleaning, pre-processing, and feature engineering techniques to improve data quality and model performance. 

• Utilize data visualization tools to effectively communicate findings and insights to non-technical stakeholders. 

Algorithm Development and Implementation: 

• Design and implement advanced algorithms and predictive models to extract meaningful information from large-scale datasets. 

• Collaborate with software developers to integrate machine learning models into production systems and applications. 

• Optimize and fine-tune models to ensure scalability, performance, and accuracy. 

Data Pipeline and Infrastructure: 

• Work closely with data engineers to design and maintain data pipelines, ensuring efficient and reliable data collection, storage, and retrieval. 

• Identify and resolve data quality issues, ensuring the integrity and consistency of the data used for analysis. 

• Collaborate with the team to deploy and scale data science solutions within the organization's infrastructure or cloud platforms. 

• Implement data governance and security measures to protect sensitive and confidential data. 

Collaborative Problem Solving: 

• Collaborate with cross-functional teams, including business stakeholders, to identify business problems and define data-driven solutions. 

• Translate business requirements into technical specifications and develop actionable insights and recommendations. 

• Communicate complex technical concepts to non-technical stakeholders effectively. 

• Participate in team discussions, knowledge sharing, and contribute to the overall growth and development of the data science team. 

Requirements

• 3+ years' of data engineering experience, preferably with one or more of these technologies SQL, ANSI SQL, LookML, Data Modeling Language (DML) or BigQuery
• Understanding of how to structure and consume data into Looker to provide optimal performance.
• Experience developing data solutions in the cloud using GCP, AWS, or Azure
• Technical expertise regarding data models, data mining and segmentation techniques
• Deep knowledge of inside out of Firebase and GA4 + Big Query...

Benefits

• Attractive & competitive salary commensurate with experience; 
• Total income: 13 months salary/year + performance bonus, Tet and holidays bonus…; 
• Salary review twice per year depending on performance and work efficiency; 
• Total 15 days off: 12 days of annual leave per year, 1 day off with full salary in birthday month, and 2 days off for company trip; 
• Welfare package on holidays (30/4-1/5, 2/9, New year); 
• Saturday and Sunday leaves according to current laws; 
• Be participated in Social Insurance, Health Insurance, and Unemployment Insurance in accordance with current laws and company regulations; 
• Personal health care insurance 24/24 (PVI Care) for yourself and 3 relatives in maximum; 
• Periodic health check once per year; 
• Related IT certificates allowance (through the form of bonus, salary increase...); 
• Remote working accepted when necessary (approved by line manager); 
• Join the Company's Clubs: Football Club, Game Club…; 
• Participate in exciting collective activities of the company: Annual Company Trip, Quarterly Teambuilding, Year-end Party, Company’s Birthday Gala Dinner, …; 

• Especially 

• Opportunities to work in a global environment and culture; 
• Opportunities to travel overseas; 
• Be supported 100% of the cost when participating in soft skills courses and professional training courses, as well as exam preparation for prestigious domestic and foreign certificates; 
• Working in a professional environment, be supported to develop the ability to the maximum.