About the Role
Masan Group is driving digital transformation in Retail, FMCG, Supply Chain and Financial Services.
We are looking for Data Scientists and Data Engineers (Engineer to Senior level) to join our team and build data and AI solutions at national scale.
Depending on your role, you will either focus on data infrastructure and pipelines or machine learning models in production that serve millions of customers.
Key Responsibilities
Data Scientist
- Work with business teams to understand problems and turn them into data science projects.
- Do end-to-end ML work: data exploration, feature engineering, training, tuning, validation.
- Build and deploy ML/AI models at scale (batch & real-time).
- Monitor model performance, fix data drift, and improve results.
- Use different types of data (transactions, behavior, text, images) for recommendation, personalization, forecasting, NLP.
- Create reusable ML tools, components, and best practices.
Data Engineer
- Design, build, and maintain data pipelines and ETL/ELT processes for clean and reliable data.
- Optimize data infrastructure on cloud/hybrid platforms (BigQuery, Snowflake, Spark, Kafka, Airflow).
- Develop data lakes and warehouses that are scalable and high-performance.
- Support Data Scientists and Analysts with efficient data access.
- Build MLOps/ETL frameworks and CI/CD pipelines for ML deployment.
- Ensure data quality, governance, and documentation.
Qualifications
Common (for both roles)
- 25 years of experience (Engineer to Senior).
- Skilled in Python or another programming language (Java/Scala/SQL).
- Experience with big data platforms and distributed systems.
- Strong problem-solving and product mindset.
- Good communication skills with both technical and non-technical people.
- Experience working on business problems in domains such as retail, FMCG, finance, loyalty, or supply chain is a strong plus.
Data Scientist
- Strong foundation in ML, statistics, and optimization.
- Proficient in ML libraries: scikit-learn, pandas, NumPy, PyTorch/TensorFlow, XGBoost, LightGBM.
- Experience deploying models to production (batch/real-time).
- Knowledge of MLOps (MLflow, Airflow, Docker, Kubernetes).
Data Engineer
- Strong SQL and data modeling skills.
- Experience with Spark, Kafka, Snowflake, BigQuery, or similar.
- Knowledge of data orchestration (Airflow, dbt), containers (Docker, Kubernetes).
- Experience with real-time streaming pipelines is a plus.
Nice-to-have
- Bachelor/Masters degree in Computer Science, Data Science, Mathematics, or related fields.
- GPA 3.3/4.0 or graduate from top technical universities.
- Achievements in Kaggle, hackathons, or published projects.
- Hands-on experience in personalization, forecasting, supply chain, churn prediction, or pricing optimization.
Why Join Masan
- Impact at scale: Work with massive datasets in retail, FMCG, and finance, and impact millions of users.
- Full-stack data & AI: Be involved in the entire lifecycle from infrastructure to AI/ML.
- Digital transformation: Join a top-priority project of one of Vietnams largest corporations.
- Career growth: Clear promotion path with opportunities to grow to Senior/Lead.
- Competitive package: Attractive salary and full benefits.
