VNEXT Global

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.