Responsibilities
1. Customer Analytics & CRM
Build and deploy segmentation models (RFM/RFMT, CLV, engagement tiers) for omni-channel retention (dine-in, app, delivery).
Design and maintain churn prediction, uplift modeling, and win-back triggers, tracking incremental lift.
2. Personalization & Recommendation
Recommend voucher types, products, and timing via contextual bandits, hybrid recommenders, and rule-based systems.
Ensure ROI and budget alignment for marketing incentives.
3. Forecasting & Operations
Forecast traffic, sales, and ingredient demand at daily/weekly/monthly levels using ARIMA, Prophet, GBDT, or deep learning models.
Optimize staff scheduling (shift assignment) under constraints such as skills, peak hours, and labor rules.
4. Experimentation & Causal Inference
Design and analyze A/B tests, Difference-in-Differences, and causal ML models (DML, DR-Learner) to evaluate campaign or pricing impact.
5. MLOps & Delivery
Deploy models to production (batch/API), manage feature stores, MLflow tracking, and monitor model drift/decay.
Collaborate with Data Engineering and Product teams to ensure reliable data pipelines and mart/feature tables.
6. Communication & Business Partnering
QUALIFICATIONS / SKILLS
Bachelor's degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
4+ years of experience as a Data Scientist in B2C, Retail, F&B, or E-commerce environments.
Strong in Python (pandas, NumPy, scikit-learn; LightGBM/XGBoost preferred) and SQL (including window functions & optimization).
Proven track record in:
Machine Learning (classification/regression, feature engineering, model calibration).
Forecasting (hierarchical, seasonal, event-based, backtesting).
Experimentation (A/B test design, DiD, noise control).
Data mining techniques to collect data, analyze and construct solutions for complex business problems.
Working knowledge of Git, MLflow, Docker, and dashboard tools (Power BI, Metabase, or Looker).
Product-oriented mindset with strong communication and documentation skills.
Nice to have:
Recommender systems (matrix factorization, two-tower, contextual bandit).
Causal ML (EconML, DoWhy, DR-Learner).
Optimization & Operations Research (OR-Tools, Pyomo).
Big Data & Orchestration (PySpark, Airflow).
API & Deployment (FastAPI, Kubernetes, streaming).
BENEFITS
13th and 14th month salary depending on business performance.
Working hours: Monday to Friday with flexible check-in time.
Opportunities to join professional and technical skill development training programs.
Work in Vietnam's leading F&B environment with many exciting technology projects.
Empowered to propose creative ideas and process improvements.
Enjoy special discounts when using services at Golden Gate restaurant chains.