Data & AI Profressionals

Data Analyst | Data Engineer | Data Scientist
Work Location:
Hanoi / Ho Chi Minh City
Level:
Middle / Senior / Lead
About VinSmart Future
VinSmart Future (VSF) is Vingroup's technology company, formed by merging the Group's entire technology ecosystem. As the "Digital Core" of Vingroup, VSF develops foundational platforms, data infrastructure, and AI capabilities that power businesses across the Group at scale.
We are expanding our Data & AI organization and looking for talented professionals across
Data Analytics, Data Engineering, and Data Science
to build large-scale data products and solve strategic business and technology challenges.
Key Responsibilities For Data Analyst Role:
Analyze large and complex datasets to generate actionable business insights.
Build dashboards, reports, and analytical frameworks to monitor business performance.
Define and track key business and product metrics.
Perform deep-dive analysis to identify trends, opportunities, and performance gaps.
Partner with Product, Business, Data, and Technology teams to support data-driven decision-making.
Support experimentation, performance measurement, and business optimization initiatives.
For Data Engineer Role:
Design, build, and maintain scalable data pipelines and data integration workflows.
Develop and optimize Data Warehouse, Data Lake, and Lakehouse architectures.
Build reliable batch and real-time data processing solutions.
Ensure data quality, availability, scalability, and performance across the data ecosystem.
Develop data models and datasets supporting Analytics, Data Science, and AI use cases.
Collaborate with Data Scientists, Analysts, and Engineering teams to deliver production-grade data solutions.
For Data Scientist Role:
Develop machine learning and statistical models to solve complex business problems.
Build solutions across forecasting, customer analytics, recommendation, segmentation, optimization, and predictive modeling.
Perform feature engineering, model training, evaluation, and experimentation.
Work with Engineering and MLOps teams to productionize and continuously improve models.
Analyze large-scale datasets and translate findings into measurable business impact.
Explore and apply advanced AI/ML techniques where relevant to business use cases.
Requirements
Bachelor's degree or above in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or related fields.
Relevant experience in
Data Analytics, Data Engineering, Data Science, Machine Learning
, or related disciplines.
Strong analytical thinking and problem-solving capabilities.
Proficiency in
SQL
and experience working with large-scale datasets.
Strong communication skills and ability to work effectively with cross-functional stakeholders.
Preferred Qualifications
Experience working with large-scale consumer, fintech, e-commerce, mobility, telecommunications, or technology platforms.
Experience building data products or solutions with measurable business impact.
Exposure to AI/ML products, experimentation, recommendation, forecasting, or optimization is an advantage.
Experience working in large-scale or cloud-native data environments.
Kindly send your CV via: [protected info]