Mô tả công việc
Responsibilities
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.
Personalization & Recommendation
Ensure ROI and budget alignment for marketing incentives.
Recommend voucher types, products, and timing via contextual bandits, hybrid recommenders, and rule- based systems.
Forecasting & Operations
Optimize staff scheduling (shift assignment) under constraints such as skills, peak hours, and labor rules.
Forecast traffic, sales, and ingredient demand at daily/weekly/monthly levels using ARIMA, Prophet, GBDT, or deep learning models.
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.
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.
Communication & Business Partnering
Translate business problems into ML approaches, articulate trade- offs between accuracy and speed, and communicate insights clearly to non- technical teams.
QUALIFICATIONS / SKILLS
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.
4+ years of experience as a Data Scientist in B2C, Retail, F&B, or E- commerce environments.
Product- oriented mindset with strong communication and documentation skills.
Bachelor&039;s degree in a quantitative field (e.g., statistics, economics, mathematics, business administration, marketing).
Strong in Python (pandas, NumPy, scikit- learn; LightGBM/XGBoost preferred) and SQL (including window functions & optimization).
Working knowledge of Git, MLflow, Docker, and dashboard tools (Power BI, Metabase, or Looker).
Nice to have:
API & Deployment (FastAPI, Kubernetes, streaming).
Optimization & Operations Research (OR- Tools, Pyomo).
Causal ML (EconML, DoWhy, DR- Learner).
Big Data & Orchestration (PySpark, Airflow).
Recommender systems (matrix factorization, two- tower, contextual bandit).
BENEFITS
Working hours: Monday to Friday with flexible check- in time.
13th and 14th month salary depending on business performance.
Opportunities to join professional and technical skill development training programs.
Empowered to propose creative ideas and process improvements.
Work in Vietnam’s leading F&B environment with many exciting technology projects.
Enjoy special discounts when using services at Golden Gate restaurant chains.
