Senior Data Scientist

Responsibilities Customer Analytics & CRMBuild 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. Personalization & RecommendationRecommend voucher types, products, and timing via contextual bandits, hybrid recommenders, and rule-based systems.Ensure ROI and budget alignment for marketing incentives. Forecasting & OperationsForecast 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. Experimentation & Causal InferenceDesign and analyze A/B tests, Difference-in-Differences, and causal ML models (DML, DR-Learner) to evaluate campaign or pricing impact. MLOps & DeliveryDeploy 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. Communication & Business PartneringTranslate business problems into ML approaches, articulate trade-offs between accuracy and speed, and communicate insights clearly to non-technical teams.Qualifications / SkillsBachelor'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 HaveRecommender 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).Benefits13th 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.