Masan Group operates Vietnam's largest integrated consumer-retail ecosystem — WinCommerce's 5,100+ stores, Masan Consumer's brand portfolio, Membership, and Phúc Long — generating consumer and transaction data at a scale few companies in Southeast Asia can match. We are building an AI-native operating platform on top of this data, and the Lead Data Scientist will be the senior technical authority translating this asset into measurable business impact: demand forecasting, pricing and promotion optimization, personalization, and assortment intelligence.
This is a hands-on leadership role: you will set the technical direction for the data science function, ship models to production yourself, and raise the bar for a growing team of data scientists and ML engineers.
Key Responsibilities
- Own the end-to-end lifecycle of high-impact ML solutions: problem framing with business owners → modeling → production deployment → measurement of P&L impact
- Set modeling standards, experimentation methodology (A/B testing frameworks), and model governance across the DS team
- Partner with the AI platform team to integrate ML models into Masan's multi-agent AI systems in production
- Build and productionize models for core retail/consumer problems: demand forecasting, dynamic pricing, promotion uplift, customer lifetime value, churn, recommendation, and store-level assortment
- Work with Data Engineering on feature pipelines, data quality standards, and ML infrastructure requirements
- Define success metrics with business stakeholders and quantify model impact in commercial terms (revenue uplift, margin, waste reduction)
- Mentor and technically coach data scientists; conduct design and code reviews
- Communicate methodology and results to non-technical senior stakeholders (BU leadership, CFO office) in clear business language
- Contribute to hiring: interview loops, technical assessment design
Requirements
- 7+ years in data science/ML, with 2+ years in a lead or principal capacity
- Proven track record of ML models in production at scale — not just POCs; you can describe the business impact in numbers
- Deep expertise in Python, SQL, and the modern ML stack (scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow); solid MLOps literacy (model serving, monitoring, retraining pipelines)
- Strong statistical foundation: causal inference, experimentation design, uplift modeling
- Experience in retail, e-commerce, fintech, or consumer platforms with large-scale transactional data
- Excellent Vietnamese and English communication — able to influence both engineering teams and business leadership
Nice to have
- Experience with LLM applications, RAG, or agentic systems
- Familiarity with cloud data platforms (GCP/BigQuery, AWS, Databricks)
- Prior experience scaling a DS team from small to mid-size
- Background in demand forecasting or pricing science specifically
Why Masan
- Data moat: first-party data across grocery, F&B, consumer goods, and membership — the richest consumer dataset in Vietnam
- AI-native mandate: direct sponsorship from Group leadership; multi-agent AI platform already live in production
- Impact visibility: your models move numbers that appear in Board-level reporting
- Ecosystem scale: solutions deploy across multiple BUs (WinCommerce, MCH, MML, Phúc Long) — one model, nationwide footprint
