Senior Data Scientist

Responsibilities
Mô tả công việc
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.

Enjoy special discounts when using services at Golden Gate restaurant chains.
Opportunities to join professional and technical skill development training programs.
13th and 14th month salary depending on business performance.
Empowered to propose creative ideas and process improvements.

Cập nhật gần nhất lúc: 2025-10-25 00:35:02