Mô tả công việc
Tóm tắt công việc
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
Translate business problems into ML approaches, articulate trade-offs between accuracy and speed, and communicate insights clearly to non-technical teams.
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.
Yêu cầu
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).
Thông tin khác
Machine Learning
Python
MS SQL
Data Mining
Statistics
Git
Regression Testing
SQL Function
Docker
Big Data
Data Analysis
Pandas
Ecommerce
Kubernetes
Test Design
MS Power BI
MS WebMatrix
scikit-learn
Numpy
Apache Airflow
PySpark
LightGBM
FastAPI
MLflow
XGBoost
Metabase
Thông tin chung
- Ngày hết hạn: 31/12/2025
- Thu nhập: Thỏa Thuận
Nơi làm việc
- 315 Trường Chinh, Thanh Xuan, Ha Noi